dam-dataset

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
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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
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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
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bfacba8b83414d31a87984f1e5e5748c	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	-0.968262	2	true
6ca2c16899814787e0a90273d6864f4b	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
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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	2.922036	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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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
b3fc0c2cd49e48daaab58e818f0be71f	70	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	51.324	3.52433	2.148067	3.157418	4.100827	3.761224	0	0	val	null	null	null	null	null	-1.571289	0	-1.84082	0	true
9fe85af2500fca678390baea337f691e	52	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	4.046441	4.260396	4.515121	4.11805	1	0	val	null	null	null	null	null	-1.663086	1	-1.915039	1	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.

Downloads last month: 7

Size of downloaded dataset files:

1.72 MB

Size of the auto-converted Parquet files:

1.72 MB

Number of rows:

15,147