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user
string
age
int64
ethnicity
string
gender
string
phq1
float64
phq2
float64
phq3
float64
phq4
int64
phq5
int64
phq6
int64
phq7
int64
phq8
float64
phq9
int64
phq
float64
phq_2
float64
gad1
float64
gad2
float64
gad3
float64
gad4
float64
gad5
float64
gad6
float64
gad7
float64
gad
float64
gad_2
float64
duration
float64
prompt_vad_cut_duration
float64
prompt_vad_trimmed_duration
float64
conversational_vad_cut_duration
float64
conversational_vad_trimmed_duration
float64
mos_pred
float64
noi_pred
float64
loud_pred
float64
dis_pred
float64
col_pred
float64
bin_phq
int64
bin_gad
int64
split
string
prompt
string
state
string
income
string
english_preferred
string
preferred_lang
string
scores_anxiety
float64
quantized_labels_anxiety
int64
scores_depression
float64
quantized_labels_depression
int64
is_unbiased
bool
12a88770ccb9e8b1b92266427ed11931
63
Other
Female
3
3
2
3
2
3
3
2
2
23
6
3
3
3
3
2
3
0
17
6
59.562688
46.728
56.412
47.604
56.412
1.770927
3.234843
2.570519
2.191856
2.227642
1
1
val
null
null
null
null
null
-0.103333
3
-0.335449
2
true
6e5e3788d1e62f208855e5065186d2e6
66
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
63.061313
30.984
57.468
14.136
44.508
2.696124
3.749429
2.999245
3.261999
2.361332
0
0
val
null
null
null
null
null
-1.737305
0
-1.913086
0
true
d7fb7d47662fe32c75df62434f2d53bf
53
White
Male
1
0
1
1
0
0
0
0
0
3
1
1
0
1
0
0
0
1
3
1
58.453313
41.376
54.492
52.152
54.492
2.435968
2.922162
3.148292
2.952042
2.987126
0
0
val
null
null
null
null
null
-1.304688
0
-1.494141
0
true
4b9738bc7f45c23dd6b9f67731a35c87
52
White
Female
0
1
1
0
1
1
0
0
0
4
1
1
1
1
0
0
0
1
4
2
71.850688
68.604
71.196
71.196
71.196
2.531571
3.674624
3.554192
3.185091
3.341353
0
0
val
null
null
null
null
null
-0.973633
0
-1.24707
0
true
5406c3e92baa10e95bfc10d7ce02ec0a
62
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
69.205313
65.083313
68.467313
67.087313
68.467313
2.263959
2.152665
2.853049
2.863477
2.805244
0
0
val
null
null
null
null
null
-2.814453
0
-2.96875
0
true
054271df09032843353e9945a8faecd2
58
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
59.648
44.76
57.66
54.192
57.66
3.587427
4.049853
3.858379
4.112544
3.296824
0
0
val
null
null
null
null
null
-2.787109
0
-2.941406
0
true
c5301aa02904a828748e1809697865c3
43
White
Male
1
1
1
1
1
0
1
0
0
6
2
1
0
0
1
0
1
0
3
1
53.674688
39.228
50.748
45.684
50.748
4.052881
4.251462
4.260651
4.408266
4.131562
0
0
val
null
null
null
null
null
-1.258789
0
-1.544922
0
true
4585c018edb2448c3ff93ebe85f79609
19
Other or mixed race
Female
0
0
1
0
1
1
2
0
0
5
0
1
0
0
1
0
0
0
2
1
61.44
58.608
59.868
59.868
59.868
3.999954
3.576353
3.95086
4.352331
4.182289
0
0
val
null
null
null
null
null
-1.709961
0
-1.956055
0
true
fbf09baf3edc85de0763d539054287e0
69
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
109.568
104.964
108.732
107.544
108.732
2.487274
3.369983
3.227468
2.317352
2.648293
0
0
val
null
null
null
null
null
-2.191406
0
-2.357422
0
true
107fa9842d4ac797c3a61ad866ef4058
66
White
Female
1
1
2
2
1
0
0
0
0
7
2
0
0
0
1
0
0
0
1
0
53.418688
46.968
51.228
51.228
51.228
1.420631
2.90734
2.659718
2.085059
2.37976
0
0
val
null
null
null
null
null
-1.099609
0
-1.415039
0
true
2fdac8e000e2ea13c43b3c355cc50b54
66
White
Female
1
1
1
1
0
0
0
0
0
4
2
1
1
0
1
0
0
1
4
2
57.306875
46.668875
56.856875
54.612875
56.856875
2.766792
3.576188
2.801177
3.411993
3.00016
0
0
val
null
null
null
null
null
-1.06543
0
-1.34375
0
true
unknown_user_8
20
Asian
Female
1
1
1
1
2
3
0
0
1
10
2
1
1
1
0
0
0
1
4
2
174.336
149.544
172.188
167.016
173.148
1.918247
3.288321
2.968852
2.08335
2.66527
1
0
val
null
null
null
null
null
0.109436
0
-0.116699
1
true
unknown_user_26
56
Other
Female
0
0
1
0
0
0
1
0
0
2
0
0
0
0
2
0
0
0
2
0
62.208
37.884
58.524
24.24
48.156
2.119889
3.490821
3.109853
2.539912
2.785135
0
0
val
null
null
null
null
null
-0.696289
0
-0.870117
0
true
259da21e5d7c92ce759d90583df0b48f
47
White
Female
1
1
1
1
1
1
0
0
0
6
2
1
1
1
1
0
1
0
5
2
61.44
45.24
57.564
49.368
50.46
4.484598
4.261952
4.615265
4.594766
4.399323
0
0
val
null
null
null
null
null
-0.23999
1
-0.524902
0
true
unknown_user_47
28
Hispanic or Latino
Female
1
2
3
1
3
0
0
0
0
10
3
3
3
3
3
3
3
3
21
6
58.538688
48.456
56.7
53.364
56.7
1.945053
3.187281
2.357938
2.270471
2.631883
1
1
val
null
null
null
null
null
-0.564453
3
-0.836426
1
true
unknown_user_59
39
Black or African American
Male
0
0
1
1
1
0
0
0
0
3
0
0
0
0
0
1
1
0
2
0
72.277313
38.664
67.068
25.464
61.692
2.547766
3.366001
2.935399
3.926665
2.006627
0
0
val
null
null
null
null
null
-1.576172
0
-1.766602
0
true
807a5b31ba896f2d3b76a0acdeb88419
29
Asian / Pacific Islander
Female
1
0
0
3
0
2
0
0
0
6
1
1
0
0
2
0
0
1
4
1
61.765063
43.26
59.772
50.484
59.772
3.286894
3.8455
2.838866
4.297705
3.23201
0
0
val
null
null
null
null
null
-1.606445
0
-1.767578
0
true
953eba4cf7e6a2e6a2981bd26854506d
46
White
Female
1
0
1
1
1
0
1
0
0
5
1
0
0
1
1
0
1
0
3
0
52.821313
38.376
48.732
42.612
48.732
1.902445
3.306978
2.249219
2.041835
2.332262
0
0
val
null
null
null
null
null
0.223267
0
0.016647
0
true
80f8cb57fc7563d56403e4dadb3f6655
19
Black or African American
Female
3
3
2
2
3
3
2
2
3
23
6
3
3
3
2
3
3
3
20
6
49.408
34.416
41.628
33.528
34.716
3.085155
2.584928
3.457424
3.750936
3.14688
1
1
val
null
null
null
null
null
-0.374756
3
-0.67627
2
true
883a2ca5422dd2d5ebb45ef31d05eb23
29
White
Female
2
2
1
1
0
1
1
1
0
9
4
1
1
1
3
2
2
0
10
2
61.525313
43.68
59.388
45.648
54.972
2.225451
3.760483
2.680398
2.45816
2.785079
0
1
val
null
null
null
null
null
-0.99707
2
-1.166992
0
true
fd85a8f998b3b05b83b96895c8d02658
41
Asian / Pacific Islander
Female
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
62.378688
54.636
59.1
59.1
59.1
3.752714
3.925875
3.941831
4.325886
3.74459
0
0
val
null
null
null
null
null
-2.691406
0
-2.814453
0
true
5023da627be1e58247d6ad8934c0c615
53
White
Female
3
3
3
3
2
3
0
1
0
18
6
1
1
1
0
0
3
1
7
2
57.957
47.748
55.356
56.988
56.988
1.434321
3.063703
2.39207
1.602522
2.72061
1
0
val
null
null
null
null
null
-0.039337
1
-0.2771
2
true
70f6d5e633f42e6726eef739ac38fbe3
42
White
Female
1
1
3
3
1
1
1
1
1
13
2
3
3
2
2
3
2
1
16
6
60.842688
41.52
58.428
40.44
49.116
2.300343
3.545462
2.510253
2.914525
2.387602
1
1
val
null
null
null
null
null
0.054382
3
-0.199463
1
true
2c6d5221fdae582e2dcd8b84b80de345
57
White
Female
1
1
3
2
3
2
3
0
0
15
2
1
1
1
2
0
3
0
8
2
44.202688
36.696
41.82
40.728
41.82
4.488556
4.385837
4.499223
4.590425
4.282519
1
1
val
null
null
null
null
null
0.414063
1
0.255615
2
true
9f38de4a1445c23bcea9c4dd3097673d
50
White
Female
1
1
1
1
2
1
2
0
0
9
2
1
1
1
2
1
1
0
7
2
62.464
46.752
59.388
47.064
48.444
4.148119
4.170166
4.389667
4.160861
4.036227
0
0
val
null
null
null
null
null
-0.210815
1
-0.486816
0
true
61d4634f6bbafec0056554588107977a
31
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
61.439938
47.688
58.428
52.236
58.428
2.354701
3.929729
2.259634
3.680875
2.488581
0
0
val
null
null
null
null
null
-1.374023
0
-1.568359
0
true
9bbebf283c4c9edcf36c16951e1d3e7d
26
Asian / Pacific Islander
Female
1
2
2
3
0
3
1
0
3
15
3
3
2
2
2
1
3
2
15
5
62.122688
35.664
57.276
23.316
39.42
2.989682
3.908663
2.302978
3.288071
3.049186
1
1
val
null
null
null
null
null
0.762695
3
0.649414
2
true
unknown_user_72
60
White
Male
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
61.952
37.98
57.564
19.992
27.036
2.6381
3.607651
3.078136
3.735587
3.16104
0
0
val
null
null
null
null
null
-2.074219
0
-2.25
0
true
unknown_user_75
38
Hispanic or Latino
Female
1
1
2
1
3
1
0
0
0
9
2
2
2
1
1
0
1
2
9
4
72.106688
56.568
69.468
57.876
62.652
2.85214
2.947023
3.547435
2.995235
2.852443
0
1
val
null
null
null
null
null
-0.488037
1
-0.76709
0
true
1f2153709b4657f30392f521bbd1c4e9
35
White
Female
2
2
3
3
2
2
3
0
0
17
4
2
2
2
2
0
1
2
11
4
140.544
104.088
140.094
116.64
133.02
3.396092
3.847399
3.766699
3.863907
3.551298
1
1
val
null
null
null
null
null
0.218872
2
-0.001469
2
true
unknown_user_92
38
Black or African American
Male
1
0
1
2
2
1
0
0
0
7
1
1
1
1
1
0
1
1
6
2
72.106688
67.524
70.236
70.236
70.236
1.893327
3.04184
2.258667
2.045517
2.539891
0
0
val
null
null
null
null
null
-0.222168
1
-0.487793
0
true
unknown_user_95
32
Black or African American
Female
1
0
1
1
0
0
0
0
0
3
1
1
1
1
0
3
2
0
8
2
70.12425
60.372
66.492
66.492
66.492
4.191719
4.159115
4.028005
4.441022
3.853625
0
1
val
null
null
null
null
null
-0.929688
1
-1.227539
0
true
10424c6ce78f741080b151f17ddf4f67
44
Hispanic or Latino
Female
1
2
3
3
3
1
1
1
0
15
3
3
3
3
3
2
3
2
19
6
63.573313
40.896
60.54
36.276
53.148
3.194849
2.277785
3.7753
4.448382
4.112674
1
1
val
null
null
null
null
null
-0.233887
3
-0.501465
2
true
9dfdc4137f54d9f27fe0147840cff634
64
White
Female
3
3
3
3
2
2
3
0
0
19
6
3
3
3
3
0
2
2
16
6
52.565313
39.54
50.844
44.604
44.604
4.607984
4.525392
4.598139
4.827816
4.507455
1
1
val
null
null
null
null
null
0.114868
3
-0.098267
2
true
9e472679aacace2d9c409cf1392c2d4a
60
White
Male
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
52.138688
45.852
50.076
50.076
50.076
2.727308
3.378801
2.96089
2.14412
2.77293
0
0
val
null
null
null
null
null
-1.904297
0
-2.099609
0
true
b240d5ac71cdd2382f76499534a53ce1
29
Asian / Pacific Islander
Female
0
1
0
0
0
0
0
1
0
2
1
0
0
0
0
0
0
0
0
0
63.488
41.736
58.14
47.508
58.62
2.198988
2.825169
1.845612
3.345232
2.600261
0
0
val
null
null
null
null
null
-1.044922
0
-1.265625
0
true
4010eefe6a6f84b8a150a2b0e2f900e6
33
Asian / Pacific Islander
Male
1
1
1
2
0
1
0
0
0
6
2
1
0
2
1
0
0
1
5
1
70.656
48.72
67.452
53.964
67.452
2.669268
3.987913
3.686321
2.821593
2.549677
0
0
val
null
null
null
null
null
-1.714844
1
-1.848633
0
true
29988fc625e6f65dae6c0d09b4b24381
60
Other
Male
2
2
2
2
3
1
3
0
0
15
4
2
2
3
2
0
1
1
11
4
55.296
46.476
53.436
53.436
53.436
2.405104
2.747098
3.256279
2.735125
2.620826
1
1
val
null
null
null
null
null
-2.613281
2
-2.787109
2
true
fa1ee4e6d20138ab65228540e3eccb7e
38
Hispanic or Latino
Female
1
1
2
2
0
0
3
2
0
11
2
1
2
1
2
1
1
2
10
3
64.73725
59.004
62.844
62.844
62.844
3.27743
3.213865
3.635981
4.208785
3.171175
1
1
val
null
null
null
null
null
-1.219727
2
-1.482422
1
true
0de66a459eded599c7f65f9fbe35bb12
58
White
Female
0
0
3
0
0
0
0
0
0
3
0
0
0
0
0
0
0
0
0
0
61.022063
44.376
59.676
54.132
59.676
3.926766
4.062557
4.284026
4.310864
3.96807
0
0
val
null
null
null
null
null
-1.764648
0
-1.969727
0
true
e6c7480615ff71b3f0735dc2de793d09
30
White
Female
2
2
1
3
2
1
2
0
0
13
4
2
1
1
2
0
1
0
7
3
74.581313
47.736
72.06
56.724
68.892
3.541165
3.097244
3.956033
4.238841
3.853757
1
0
val
null
null
null
null
null
-0.753906
1
-1.003906
1
true
fa9fc7403ada691e43729aed26f6be0a
27
White
Female
1
1
3
3
2
1
0
0
0
11
2
1
0
1
1
0
1
0
4
1
84.242
65.232
80.7
78.744
80.7
4.687668
4.625268
4.648777
4.705515
4.44665
1
0
val
null
null
null
null
null
-0.927734
0
-1.201172
1
true
577ab9d05e5e7aaaf1d667d32c8b82bf
44
Black or African American
Male
1
1
2
1
1
1
0
0
0
7
2
1
1
1
1
0
1
1
6
2
64.512
47.208
62.268
53.232
62.268
2.857659
2.415869
3.610219
4.26839
3.23207
0
0
val
null
null
null
null
null
-1.09082
1
-1.352539
0
true
eb467dca7fdbe56f4175c3f0b86fd0be
30
White
Female
1
1
1
2
1
2
1
0
1
10
2
2
3
2
3
1
2
3
16
5
57.941313
42.78
55.164
51.636
55.164
2.57007
2.409689
2.963705
3.887604
2.034555
1
1
val
null
null
null
null
null
-0.92041
3
-1.236328
1
true
f3dee87c3adac75289ec3e038ec3f2d7
24
Hispanic or Latino
Female
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
2
1
64.512
54.528
61.692
61.692
61.692
4.19804
4.079912
4.222687
4.516232
4.249843
0
0
val
null
null
null
null
null
-1.010742
0
-1.273438
0
true
fdffb728f83dc76148c461e785bf0d70
40
White
Female
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
66.048
57.684
61.212
61.212
61.212
2.888723
3.618459
2.370039
4.21266
3.199862
0
0
val
null
null
null
null
null
-0.294922
0
-0.516113
0
true
87944e76b5a66b601870d12dff9ee9f4
39
White
Male
2
2
2
2
2
2
2
2
2
18
4
2
2
2
1
0
0
0
7
4
50.944
31.894
50.782
23.448
24.732
3.485562
3.590917
3.883068
4.244397
4.031815
1
0
val
null
null
null
null
null
-1.445313
1
-1.686523
2
true
ccbbb043d6fb383a50c016f3181eb6d0
52
White
Female
1
2
2
0
0
1
1
0
0
7
3
3
3
3
3
0
3
3
18
6
100.181313
84.071313
98.771313
97.583313
98.771313
1.90536
2.175978
2.917703
2.323227
2.354756
0
1
val
null
null
null
null
null
-0.535645
3
-0.837402
0
true
62ce7541cbb6104596fc4644a813320e
41
White
Male
0
1
0
0
0
0
0
1
0
2
1
1
0
1
0
0
1
0
3
1
58.794688
52.884
57.372
57.372
57.372
1.588731
2.853404
2.037504
2.153156
2.360931
0
0
val
null
null
null
null
null
-1.882813
0
-2.0625
0
true
88eaa9eaf0ede64c4effd230d43912a1
63
White
Female
1
0
2
0
2
0
0
0
0
5
1
0
0
0
0
0
0
0
0
0
61.525313
40.704
58.332
33.66
33.66
1.55396
3.574842
3.583266
2.47811
2.01866
0
0
val
null
null
null
null
null
-0.180054
0
-0.435547
0
true
887288c1bbe358726fabcee0b932a69a
57
White
Female
1
0
1
2
1
1
1
0
0
7
1
0
0
0
0
0
0
0
0
0
63.914688
36.804
60.156
36.012
60.156
4.182988
3.957012
4.309742
4.462112
4.274348
0
0
val
null
null
null
null
null
-0.748047
0
-1.030273
0
true
4b9738bc7f45c23dd6b9f67731a35c87
52
White
Female
1
1
1
1
1
1
0
0
0
6
2
1
1
1
0
0
1
1
5
2
63.744
62.676
63.324
63.324
63.324
2.65039
3.653051
3.642835
3.009285
3.178651
0
0
val
null
null
null
null
null
-0.306641
1
-0.591797
0
true
b8466a7422ba82b20e4ef48838b1ccbf
63
White
Female
0
0
0
2
2
0
0
0
0
4
0
0
0
0
0
0
0
0
0
0
59.648
47.856
56.22
56.22
56.22
1.884803
3.568848
3.540695
2.26726
2.653808
0
0
val
null
null
null
null
null
-1.621094
0
-1.838867
0
true
ec32361272566cec51131cdfe5985d3a
24
Asian / Pacific Islander
Prefer not to answer
2
2
1
1
1
2
1
0
0
10
4
2
0
1
1
0
1
1
6
2
59.477313
43.272
51.9
46.392
48.06
4.485502
4.068563
4.501722
4.540209
4.457239
1
0
val
null
null
null
null
null
0.341553
1
0.138794
1
true
899fd5ec7d20cbfb2acd9f5655d78611
35
White
Female
1
3
1
3
0
3
3
1
1
16
4
2
3
3
3
0
1
1
13
5
61.525313
33.18
59.58
20.724
37.5
4.637802
4.334405
4.652205
4.726963
4.531784
1
1
val
null
null
null
null
null
-0.420166
2
-0.663574
2
true
6d943ba31802e2bf52a06548b05f058a
26
Other or mixed race
Female
0
0
1
2
0
1
0
0
0
4
0
2
1
1
2
0
0
2
8
3
72.44625
57.348
69.756
69.756
69.756
3.707453
3.504393
3.901118
3.624416
3.849662
0
1
val
null
null
null
null
null
-0.535645
1
-0.802734
0
true
eda3ccedf2846efb86a82b878c754bac
56
White
Female
0
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
60.501313
50.28
57.276
57.276
57.276
3.191787
4.093589
3.267605
3.752923
3.373218
0
0
val
null
null
null
null
null
-1.044922
0
-1.27832
0
true
3ba59349e8329924b7463eb37d87032e
33
White
Female
1
2
3
3
2
3
1
0
1
16
3
1
1
1
2
0
0
1
6
2
72.618688
50.844
69.564
53.268
56.22
3.968663
3.529283
4.13507
4.470671
4.11112
1
0
val
null
null
null
null
null
-0.359619
1
-0.648438
2
true
49dcdc65d34e0ce30d2a5dda25c51005
35
White
Male
2
3
2
3
3
2
3
2
0
20
5
2
2
3
3
3
3
2
18
4
62.208
36.828
59.868
30.612
53.628
2.831922
2.024222
3.507466
3.942463
3.305319
1
1
val
null
null
null
null
null
-0.644043
3
-0.907715
2
true
48e2e64c72f7f2f91f9fb74523b72076
27
White
Other
1
3
1
3
1
3
1
0
1
14
4
3
3
3
3
1
2
3
18
6
66.559938
51.852
64.092
62.616
64.092
2.929857
3.740273
3.18592
3.482235
2.866169
1
1
val
null
null
null
null
null
0.249634
3
0.022156
1
true
fdc218ae4d8a6d96a0ba770b72e461f0
43
White
Female
3
2
3
3
3
2
2
0
1
19
5
3
3
3
2
0
2
1
14
6
73.984
59.542
72.19
61.522
72.19
3.711786
4.094613
4.240155
4.375639
4.242576
1
1
val
null
null
null
null
null
0.359375
2
0.144531
2
true
695c4badb8926c265642c40cf8acef8b
42
White
Female
0
0
1
1
2
0
0
0
0
4
0
0
0
0
1
0
0
0
1
0
60.330688
49.416
58.524
49.752
52.284
2.038224
3.571055
2.180316
2.3551
2.40353
0
0
val
null
null
null
null
null
-0.828613
0
-1.055664
0
true
5456bb5a6c56ea7929d83603be179038
35
Asian / Pacific Islander
Female
1
1
2
1
2
1
3
2
0
13
2
1
1
1
0
0
2
0
5
2
63.914688
37.968
61.788
40.812
58.332
2.928359
4.00618
3.335051
2.896416
3.3406
1
0
val
null
null
null
null
null
0.47583
1
0.287598
1
true
2469f45dde4ec3d78e13a6520a830694
38
White
Female
2
2
2
2
1
2
2
2
0
15
4
2
2
2
2
2
2
2
14
4
46.08
34.656
43.644
44.796
44.796
2.580703
2.40961
3.069392
3.931267
2.794685
1
1
val
null
null
null
null
null
-0.445557
2
-0.744141
2
true
0140057f5417b8c832abe5540ee81fbb
59
White
Female
1
1
1
2
0
1
3
1
0
10
2
3
3
3
3
1
1
2
16
6
96.341313
75.288
94.332
90.612
92.892
2.234908
3.09652
3.043788
2.508906
2.651428
1
1
val
null
null
null
null
null
-0.953125
3
-1.242188
1
true
c48fc5ee573881081849c636199dcc66
65
White
Female
0
0
1
1
0
0
0
0
0
2
0
0
0
1
0
0
0
0
1
0
61.857938
50.64
58.332
56.376
58.332
3.856571
3.537474
4.086767
4.408177
3.927634
0
0
val
null
null
null
null
null
-1.558594
0
-1.852539
0
true
b8466a7422ba82b20e4ef48838b1ccbf
62
White
Female
0
0
0
1
3
0
1
3
0
8
0
0
0
0
0
1
0
0
1
0
56.234688
41.808
53.532
46.26
51.036
1.059169
3.26207
2.967205
1.812272
1.956042
0
0
val
null
null
null
null
null
-0.44751
0
-0.734375
0
true
9436aa5b14e4e1a09b817bbb11ebb428
60
Hispanic or Latino
Female
1
0
1
1
1
0
0
0
0
4
1
1
1
1
1
0
0
0
4
2
59.392
46.776
56.028
50.556
50.556
4.594292
4.503034
4.507034
4.514352
4.35088
0
0
val
null
null
null
null
null
-1.498047
0
-1.783203
0
true
91fbc1ffc46dc5e768f6b154bb548e37
52
White
Female
1
1
1
3
3
3
3
0
0
15
2
1
3
3
3
1
3
0
14
4
71.936
59.04
70.332
60.12
70.812
4.173234
4.172917
4.214797
4.524774
4.379745
1
1
val
null
null
null
null
null
-1.120117
2
-1.375
2
true
5a882139fd2e81fb020e36099f145bd4
40
White
Female
1
1
3
2
3
2
3
0
0
15
2
2
2
2
1
1
0
0
8
4
77.055938
56.46
75.036
48.816
69.564
2.15998
2.801888
1.928468
3.630258
2.638421
1
1
val
null
null
null
null
null
-0.422607
1
-0.701172
2
true
f48150f4b9063f42fb275489181373c1
30
White
Male
0
1
3
1
0
1
0
0
0
6
1
2
1
1
2
1
0
1
8
3
61.44
45.264
58.812
53.808
58.812
4.28541
4.490271
4.316826
4.53227
4.12627
0
1
val
null
null
null
null
null
-1.209961
1
-1.500977
0
true
0c70d862cf6cc45e33b7da55e827a5ee
24
Black or African American
Female
3
2
3
3
2
3
2
1
1
20
5
2
3
3
2
3
3
2
18
5
66.218688
39.504
63.228
30.288
50.46
2.927294
3.286754
3.304495
4.115965
3.38425
1
1
val
null
null
null
null
null
0.457275
3
0.290527
2
true
7cda84f4b702518f801e207befea7b6a
64
White
Female
0
0
1
0
0
0
0
0
0
1
0
0
1
1
0
0
0
0
2
1
61.525313
48.175313
60.787313
57.931313
60.787313
2.247104
3.239898
2.659418
2.196796
2.216236
0
0
val
null
null
null
null
null
-2.226563
0
-2.365234
0
true
5230b04544678996a25d72029220c59a
48
White
Male
2
2
2
2
0
1
1
0
0
10
4
1
1
1
1
0
1
0
5
2
61.781313
57.564
60.732
60.732
60.732
4.373577
4.293585
4.530653
4.632775
4.252549
1
0
val
null
null
null
null
null
-0.838379
1
-1.12793
1
true
da13bf08cb78fae3e40688f6167de9f3
68
White
Female
1
1
2
2
1
1
1
0
0
9
2
1
1
1
1
0
0
0
4
2
63.146688
38.676
59.196
39.06
52.284
4.198916
3.965623
4.32016
4.347933
4.198107
0
0
val
null
null
null
null
null
-1.629883
0
-1.837891
0
true
ef19ca0d7fd206d12d6daa2f3db9b3a5
45
White
Female
1
1
1
1
1
1
0
0
0
6
2
0
1
1
1
1
1
1
6
1
58.624
50.868
55.26
55.26
55.26
3.60068
3.635534
3.872803
4.371393
3.808741
0
0
val
null
null
null
null
null
-0.006306
1
-0.269043
0
true
db4ab646d3e1d7288aaa8cf608bd6329
53
White
Female
2
3
0
3
0
2
0
0
2
12
5
2
2
3
3
0
2
3
15
4
58.794688
48.132
56.7
55.512
56.7
4.268438
4.123813
4.320295
4.544178
4.143567
1
1
val
null
null
null
null
null
-0.585449
3
-0.874023
1
true
15f7e590709721f4e37347ca36e61de4
18
Asian / Pacific Islander
Female
2
2
2
2
1
3
2
1
1
16
4
3
2
3
3
0
3
3
17
5
61.184
52.608
59.772
59.772
59.772
3.334336
4.016068
4.183575
3.206042
3.658511
1
1
val
null
null
null
null
null
-0.178833
3
-0.360107
2
true
6d94a95989cdbf1e156e03c8918f8ae0
43
Asian / Pacific Islander
Male
1
1
1
1
3
3
3
1
0
14
2
0
1
1
1
0
2
1
6
1
58.514313
30.144
54.108
5.436
5.436
4.083439
3.615426
4.198626
4.419891
4.307617
1
0
val
null
null
null
null
null
-0.655762
1
-0.950195
1
true
e49304da9895e7822ef6c441322bb726
36
Hispanic or Latino
Female
1
0
1
1
0
0
0
0
0
3
1
1
1
1
1
0
1
0
5
2
52.906688
40.044
46.716
45.528
46.716
4.340528
4.031305
4.557367
4.640574
4.420063
0
0
val
null
null
null
null
null
-1.155273
1
-1.339844
0
true
4518bd90ba04b8db7969e8d2a2f4d158
25
Hispanic or Latino
Female
2
3
3
3
3
3
3
2
3
25
5
3
3
3
3
1
3
3
19
6
63.573313
50.088
61.308
61.308
61.308
3.402961
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val
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null
null
null
null
0.685547
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0.565918
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true
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White
Female
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2
3
3
2
3
2
0
1
17
3
2
3
3
1
0
3
2
14
5
58.453313
49.068
55.452
55.452
55.452
3.761922
4.122203
3.961443
3.917078
3.593105
1
1
val
null
null
null
null
null
-0.729004
2
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true
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32
Black or African American
Male
3
2
3
3
3
2
2
1
1
20
5
1
2
2
2
1
1
2
11
3
70.031375
30.876
62.172
7.356
7.356
1.4614
2.036057
1.874144
3.367179
2.079619
1
1
val
null
null
null
null
null
-0.714844
2
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2
true
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48
Asian / Pacific Islander
Female
3
3
3
3
3
3
2
0
2
22
6
3
3
3
3
0
3
3
18
6
73.642688
37.212
70.812
32.628
57.372
2.918639
3.497363
3.10019
3.465743
3.055342
1
1
val
null
null
null
null
null
0.569336
3
0.410156
2
true
97561a079872a288b579db9b73f13c66
64
White
Female
1
1
2
3
1
0
0
0
0
8
2
1
1
1
2
0
1
2
8
2
66.389313
51.048
65.244
57.552
63.42
3.692863
4.138292
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3.491711
0
1
val
null
null
null
null
null
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0
true
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45
White
Female
1
0
1
1
0
0
0
0
0
3
1
1
0
0
0
0
0
0
1
1
62.208
53.424
59.868
57.492
59.868
3.596519
2.503309
4.131925
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0
0
val
null
null
null
null
null
-1.743164
0
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0
true
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White
Male
1
3
0
1
0
2
0
0
1
8
4
2
3
3
2
2
2
2
16
5
58.112
50.892
55.74
52.38
52.38
4.282801
4.225351
4.349559
4.409636
4.006844
0
1
val
null
null
null
null
null
-0.341064
3
-0.592773
0
true
e72d552fb74ee321ab5ec9909f32fe3b
73
White
Female
1
0
1
3
2
1
0
0
0
8
1
1
0
1
0
0
2
0
4
1
61.184
47.426
57.47
54.962
58.526
2.175174
3.695642
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2.300568
2.483736
0
0
val
null
null
null
null
null
-1.811523
0
-2.089844
0
true
b8466a7422ba82b20e4ef48838b1ccbf
62
White
Female
1
0
3
1
3
0
0
1
0
9
1
0
0
3
0
3
1
0
7
0
55.808
47.244
55.452
45.816
46.908
2.001251
3.393085
3.166755
2.07635
2.366782
0
0
val
null
null
null
null
null
-1.072266
1
-1.34082
0
true
b8466a7422ba82b20e4ef48838b1ccbf
62
White
Female
0
0
3
1
3
0
1
1
0
9
0
0
1
0
1
1
1
3
7
1
56.064
52.548
54.396
54.396
54.396
1.769948
3.525793
3.1435
1.870514
2.283888
0
0
val
null
null
null
null
null
-1.168945
1
-1.425781
0
true
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White
Female
3
3
3
3
3
2
2
0
0
19
6
2
3
3
3
0
2
3
16
5
63.658688
46.92
60.252
52.056
55.068
2.166363
3.465666
2.737288
2.467435
2.511055
1
1
val
null
null
null
null
null
-0.162476
3
-0.416016
2
true
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White
Male
1
1
2
1
0
0
0
0
0
5
2
0
0
1
2
1
0
0
4
0
60.672
45.192
57.756
47.856
57.756
2.531827
2.414365
2.764334
3.257472
2.265188
0
0
val
null
null
null
null
null
-0.432373
0
-0.677246
0
true
00aa79e95d333b0ccc3fd6d2fcf24295
51
White
Male
3
2
3
3
3
2
2
2
0
20
5
1
0
2
0
0
2
2
7
1
164.675938
135.696
161.34
148.044
156.252
1.18666
2.013802
2.30559
1.682059
1.946087
1
0
val
null
null
null
null
null
-0.08429
1
-0.310547
2
true
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White
Female
0
0
1
1
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
40.495625
30.048
39.516
26.772
34.908
3.796898
4.14954
3.700596
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3.704995
0
0
val
null
null
null
null
null
-1.610352
0
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0
true
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White
Male
3
2
2
2
2
2
2
1
0
16
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3
1
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3
0
2
1
12
4
65.536
49.896
63.516
46.86
60.156
4.562683
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4.606377
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4.529902
1
1
val
null
null
null
null
null
-1.301758
2
-1.554688
2
true
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White
Female
1
2
1
1
1
2
2
1
2
13
3
2
2
2
3
2
1
1
13
4
62.634688
49.284688
60.168688
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60.168688
3.179878
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1
1
val
null
null
null
null
null
-1.586914
2
-1.856445
1
true
6600b96633a7021c42ed63307a8e0bca
18
Native American or American Indian
Female
2
3
3
2
3
1
3
2
1
20
5
0
0
0
1
1
1
1
4
0
61.952
48.926
60.734
59.45
60.734
2.890396
3.900474
3.70729
2.749125
3.424113
1
0
val
null
null
null
null
null
0.045807
0
-0.151611
2
true
4d4e6dcf36a51dabbe3a41b5b8dbac2c
54
White
Female
3
3
3
3
3
3
3
0
2
23
6
3
3
3
3
1
3
3
19
6
67.157313
49.356
63.228
58.8
63.228
2.77706
3.812265
3.046802
2.91756
3.228675
1
1
val
null
null
null
null
null
0.194336
3
-0.004627
2
true
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White
Female
1
1
0
1
0
1
0
0
1
5
2
1
1
1
0
0
1
0
4
2
62.634688
44.424
57.564
50.04
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0
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val
null
null
null
null
null
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true
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White
Male
3
3
0
3
1
1
0
0
0
11
6
1
0
0
0
0
3
2
6
1
63.744
39.306
59.262
46.704
50.364
3.804114
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1
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val
null
null
null
null
null
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true
End of preview. Expand in Data Studio

Overview

This dataset includes audio-based model scores, clinical mental health labels, and demographic metadata for the validation and test sets used in the development of https://huggingface.co/KintsugiHealth/dam. Demographic statistics covering the training set as well are included in this model card.

The model was trained and evaluated on a large-scale speech dataset collected from approximately 35,000 individuals via phone, tablet, or web app, which corresponds to ~863 hours of speech data. The data was collected by asking each subject to speak for about 1 minute to various non-mental-health related prompts, e.g. talking about a favorite hobby or sport. Ground-truth labels were derived from both clinician-administered and self-reported PHQ-9 and GAD-7 questionnaires, ensuring strong alignment with established clinical assessment standards. The data consists predominantly of American English speech. However, a broad range of accents is represented, providing robustness across diverse speaking styles.

This data has been redacted for privacy purposes, so no personally identifiable information is included. In particular, the audio itself is excluded. In its place are model scores predicted by https://huggingface.co/KintsugiHealth/dam. Any audio streams containing less than the 30 seconds of speech needed to run this model have also been excluded from the dataset, but are included in the demographic statistics below.

While it is not possible to verify these scores by running the model directly, since the input audio is redacted, the authors hope the scores, accompanying labels, demographic data are useful for threshold tuning and independent research questions.

Demographics

Train Validation Test Total
Number of unique subjects 23,743 6,047 5,353 34,457
Total number of audio files 43,945 11,073 9,810 64,828
Audio duration, s - Average (SD) 56.4 (13.6) 56.8 (13.8) 56.1 (13.6) 56.4 (13.7)
Audio duration, s - Median 56.8 57.6 55.7 56.7
Audio duration, s - Mode 79.9 79.9 79.9 79.9
Audio duration, s - Range 30-229 31-231 31-176 30-231
Audio duration, hr - Total 688.5 174.7 152.9 863.2
Age, y - Range 18+ 18+ 18+ 18+
Age, y - Average (SD) 45.2 (16.8) 45.4 (16.8) 45.5 (16.7) 45.3 (16.8)
Age, y - Median 42 43 43 42
Age, y - Mode 30 30 41 30
Gender, % - Female 57.5 57.8 57.8 57.6
Gender, % - Male 41.1 41 40.7 41
Gender, % - Not specified 0.4 0.4 0.3 0.3
Gender, % - Other 0.8 0.7 0.8 0.8
Race/ethnicity, % - Asian or Pacific Islander 5.9 6 6 6
Race/ethnicity, % - Black or African American 12.6 12.5 11.8 12.5
Race/ethnicity, % - Hispanic or Latine 17 17.2 17.7 17.2
Race/ethnicity, % - Native American or American Indian 0.9 0.8 0.8 0.8
Race/ethnicity, % - Not specified 2.9 2.9 2.9 2.9
Race/ethnicity, % - Other or mixed race 4.4 4.4 4.4 4.4
Race/ethnicity, % - White 56.2 56.1 56.5 56.2
PHQ-9 score - Average (SD) 8.7 (6.7) 8.7 (6.8) 8.8 (6.8) 8.7 (6.7)
PHQ-9 score - Median 7 7 8 7
PHQ-9 score - Mode 0 0 0 0
PHQ-9 score - Range 0-27 0-27 0-27 0-27
GAD-7 score - Average (SD) 7.3 (6.1) 7.3 (6.2) 7.4 (6.2) 7.3 (6.2)
GAD-7 score - Median 6 6 6 6
GAD-7 score - Mode 0 0 0 0
GAD-7 score - Range 0-21 0-21 0-21 0-21

Threshold tuning

Illustrations of how to use this data to tune model thresholds are provided in the model card https://huggingface.co/KintsugiHealth/dam.

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