Datasets:

harvardairobotics
/

Harvard-GDP

filename string	gender string	age float64	race string	hispanic string	glaucoma int64	progression.md float64	progression.vfi float64	progression.td_pointwise float64	progression.md_fast float64	progression.md_fast_no_p_cut float64	progression.td_pointwise_no_p_cut float64	glaucoma_detection_use string	progression_forecasting_use string	md float64	td1 int64	td2 int64	td3 int64	td4 int64	td5 int64	td6 int64	td7 int64	td8 int64	td9 int64	td10 int64	td11 int64	td12 int64	td13 int64	td14 int64	td15 int64	td16 int64	td17 int64	td18 int64	td19 int64	td20 int64	td21 int64	td22 int64	td23 int64	td24 int64	td26 int64	td27 int64	td28 int64	td29 int64	td30 int64	td31 int64	td32 int64	td33 int64	td35 int64	td36 int64	td37 int64	td38 int64	td39 int64	td40 int64	td41 int64	td42 int64	td43 int64	td44 int64	td45 int64	td46 int64	td47 int64	td48 int64	td49 int64	td50 int64	td51 int64	td52 int64	td53 int64	td54 int64
data_0001	female	73.69	white	no	1	0	0	0	0	0	1	training	training	-10.82	-2	-2	1	-4	-9	-7	-5	-4	-4	-4	-29	-14	-7	-11	-5	-4	-2	2	-28	-30	-32	-33	-24	-3	-4	-2	-28	-31	-13	-3	-1	0	-4	-4	-30	-32	-11	-2	-2	-3	-2	-5	-31	-20	-13	-4	-3	0	-12	-8	-11	-3
data_0002	female	34.48	white	no	0	0	1	0	0	0	0	training	training	1.61	2	2	1	4	1	1	0	0	2	4	3	1	2	0	1	3	1	4	2	1	2	1	0	1	0	5	3	1	2	1	2	2	1	5	3	1	2	0	1	2	2	3	4	1	2	2	2	0	2	1	2	1
data_0003	female	74.49	white	no	0	0	0	0	0	0	0	training	training	1.85	4	3	2	-2	-1	1	1	2	1	-1	0	1	3	3	2	1	1	4	2	1	1	3	2	3	2	1	5	4	3	2	3	3	3	2	4	3	2	3	2	1	0	2	3	2	0	2	1	2	2	-3	2	3
data_0004	female	35.36	white	no	0	0	0	0	0	0	0	training	training	0.15	1	-2	-4	0	-2	1	-1	0	2	3	0	-1	1	1	2	0	2	-3	2	0	0	1	0	0	0	0	-2	0	-1	-1	0	1	1	0	1	1	0	-1	-1	0	-1	0	2	1	-1	-1	1	1	1	1	1	2
data_0005	female	81.32	black or african american	no	1	1	1	1	0	0	1	training	training	-4.52	-6	-5	-7	-5	-6	-5	-6	-7	-4	-6	-11	-8	-4	-4	-6	-5	-4	-5	-1	-5	-7	-5	-3	-3	-6	-3	-3	-1	-3	-4	-5	-3	-5	-5	1	-3	-3	-5	-6	-4	-3	-3	-3	-3	-3	-6	-3	-3	-3	-5	-5	-7
data_0006	female	37.1	asian	no	1	0	0	1	0	0	1	training	training	-14.93	-31	-5	-4	-1	-32	-33	-33	-23	-7	-4	-32	-22	-13	-26	-7	-8	-7	-2	-30	-33	-34	-24	-4	-4	-4	-1	-30	-33	-34	-21	-4	-5	-2	-5	-32	-26	-18	-24	-8	-2	2	-3	-29	-30	-7	-4	-2	-1	-12	-7	0	0
data_0007	male	56.01	black or african american	no	1	0	0	0	0	0	0	training	training	-3.47	-4	-12	-13	-6	-4	-5	-4	-6	-2	-10	-7	-4	-2	-2	-2	-3	-2	-2	-8	-8	-3	-2	-1	-2	-1	-1	-7	-5	-3	-1	0	-1	-2	-1	-3	-2	-2	-1	-2	-4	-3	-2	-4	-2	-1	-3	-5	-10	-5	-2	-7	-9
data_0008	female	53.4	black or african american	no	0	0	0	0	0	0	0	training	training	-0.82	-1	-1	-1	2	-1	-2	-1	0	1	1	-5	-2	-1	-2	-1	0	-1	1	-2	-1	-2	-1	0	-1	0	2	-7	-2	0	-1	0	-1	0	0	0	0	0	0	0	1	2	1	-2	-1	-2	-2	-1	-1	-4	1	0	-1
data_0009	female	63.8	white	no	0	0	0	0	0	0	1	training	training	0.27	3	1	-3	-8	-2	-2	0	-2	-1	-3	2	2	2	1	1	-1	-3	-2	3	2	2	3	1	1	0	-1	1	1	2	2	1	0	-2	1	-1	1	0	-1	0	-1	0	1	1	0	0	-2	0	1	1	1	0	0
data_0010	female	69.4	white	no	0	0	0	0	0	0	0	training	training	-0.41	-2	3	2	1	-1	0	1	1	1	-1	-2	-3	-1	-1	1	1	-5	0	-1	-1	-3	0	1	1	2	-2	1	0	0	0	1	1	1	-4	0	-2	0	0	0	-1	0	-3	2	-2	0	-1	-2	-1	0	0	-1	-1
data_0011	male	60.5	white	no	0	0	0	0	0	0	0	training	training	-0.55	5	1	0	3	2	4	2	-1	2	1	1	-1	0	-1	-1	1	-1	3	0	-2	0	-2	0	0	-1	0	0	1	-1	-1	-2	-1	-1	-1	-1	-1	-2	-2	-1	-2	-1	-1	-1	-2	-4	0	-2	0	-2	-1	-2	0
data_0012	male	69.94	white	null	1	0	0	0	0	0	1	training	training	-15.96	-22	-26	-21	-20	-9	-11	-19	-17	-13	-29	-12	-7	-7	-6	-25	-30	-6	-26	-28	-28	-27	-5	-34	-33	-17	-23	-28	-22	-27	-32	-8	-1	-22	-23	-24	-11	-23	-8	-7	-10	-10	-11	-3	-17	-10	-12	-6	-5	-5	-9	-7	-11
data_0013	female	75.99	white	no	1	0	0	0	0	0	0	training	training	-4.64	-8	-4	-12	-11	-13	-7	-6	-9	-4	-9	-12	-6	-4	-7	-5	-6	-3	-2	-18	-10	-8	-6	-4	-2	-3	-1	-8	-5	-7	-3	-2	-2	-1	0	-7	-3	-4	-2	-1	-1	-3	0	-3	-3	-4	-1	0	-4	-6	-6	0	-1
data_0014	male	44.83	asian	no	0	0	0	0	0	0	0	training	training	0.83	1	1	2	2	2	0	1	1	1	2	2	2	2	0	-1	2	2	0	3	1	1	2	0	-1	0	3	1	2	2	2	0	1	0	-1	3	1	1	1	1	1	1	-1	1	-1	1	1	0	-1	1	1	1	-2
data_0015	female	47.54	asian	no	1	0	0	0	0	0	0	training	training	-5.31	-5	-10	-7	-4	-7	-5	-6	-6	-4	-3	-7	-5	-6	-6	-5	-5	-2	-2	-11	-9	-8	-5	-7	-18	-8	0	-3	-5	-7	-4	-4	-4	-1	-1	-3	-5	-6	-5	-4	-4	-1	-3	-3	-6	-6	-3	-4	-6	-6	-8	-4	-2
data_0016	female	46.71	white	no	0	0	0	0	0	0	0	training	training	0.52	1	-3	0	0	-1	1	1	0	-1	1	-1	-1	1	0	-1	1	1	-1	-3	-1	-1	1	-1	-1	1	4	0	0	2	2	0	-1	0	0	3	2	2	2	0	1	2	0	2	1	0	1	2	3	2	1	0	3
data_0017	female	76.84	white	no	0	0	0	0	0	0	0	training	training	-0.18	-4	-2	-2	-4	3	-2	-3	-2	0	-2	2	1	-2	0	-1	1	0	0	3	1	1	-1	1	1	-1	0	-2	-2	0	0	1	1	-1	2	-2	0	-1	0	0	-2	1	0	3	0	0	0	0	4	2	-2	1	1
data_0018	female	54.4	black or african american	no	1	0	0	0	0	0	0	training	training	-11.86	-10	-7	-9	-9	-10	-9	-11	-10	-10	-12	-12	-9	-11	-12	-12	-12	-10	-10	-3	-4	-8	-10	-11	-12	-12	-18	-9	-12	-11	-12	-15	-16	-14	-22	-14	-12	-12	-13	-14	-12	-13	-17	-11	-14	-12	-15	-12	-14	-16	-13	-13	-13
data_0019	female	77.39	black or african american	no	0	0	0	0	0	0	0	training	training	-0.19	0	2	2	1	3	1	2	1	1	0	1	1	2	0	-1	-3	-2	-1	2	0	0	2	0	-2	-1	0	0	0	0	1	0	0	0	2	-1	-2	0	0	-1	-2	-7	-4	-1	0	0	-1	-3	-2	0	-3	-1	1
data_0020	female	80.55	black or african american	no	1	1	1	1	1	1	1	training	training	-7.07	-12	-9	-9	-9	-8	-8	-9	-8	-5	-16	-14	-8	-6	-7	-5	-8	-22	-7	-17	-12	-5	-3	-3	-3	-10	-8	-21	-7	-6	-3	-2	-3	-5	-10	-8	-7	-6	-5	-4	-6	-4	-6	-9	-5	-5	-6	-4	-10	-3	-9	-5	-7
data_0021	male	59.63	white	no	0	0	0	0	0	0	0	training	training	-0.94	0	1	0	3	-2	0	0	-2	-1	0	1	-4	1	0	-1	-4	-2	-3	1	-1	-1	0	1	1	-1	-2	2	-1	-1	-1	0	0	-1	-2	-2	-3	-2	-1	0	-1	0	0	-1	-1	-1	-3	-2	-3	0	0	-4	-3
data_0022	female	56.58	asian	no	1	0	0	0	0	0	0	training	training	-3.68	-6	-5	-12	-7	-8	-6	-3	-5	-2	-5	-12	-6	-2	-2	-2	-3	-2	-3	-3	-4	-3	-2	-1	0	-1	-4	-7	-5	-2	-2	-1	-1	-1	-1	-4	-4	-4	-3	-4	-6	-3	-2	-4	-4	-3	-8	-4	-3	-3	-3	-6	-8
data_0023	male	81.12	white	no	1	0	0	0	0	0	0	training	training	-5.24	0	-11	-6	-4	2	0	-3	-9	-2	-1	-2	1	0	-2	-32	-3	-2	-1	-5	-2	0	-2	-3	-15	-4	0	-28	-12	-3	-2	-2	-2	-25	0	-27	-6	-5	-3	-2	-2	-1	-1	-9	-6	-6	-4	-1	-1	-11	-12	-2	-2
data_0024	female	42.19	white	no	0	0	0	0	0	0	0	training	training	-0.24	0	2	1	3	2	1	1	0	0	-3	2	-1	1	0	-3	-2	-1	-1	0	1	1	0	-1	-1	-1	0	4	1	1	0	-2	0	-1	-1	0	-1	0	-2	-1	-2	-2	-3	-1	0	-2	-1	0	0	0	0	0	0
data_0025	female	64.79	black or african american	no	1	0	0	0	0	0	0	training	training	-7.63	-13	-6	-8	-13	-7	-4	-5	-9	-3	-9	-7	-6	-5	-6	-3	-3	-6	-2	-12	-6	-5	-2	-5	-3	-3	-3	-5	-7	-6	-5	-7	-3	-5	-7	-9	-10	-14	-7	-10	-10	-6	-10	-7	-11	-18	-18	-7	-14	-17	-17	-8	-9
data_0026	female	56.85	white	no	0	0	0	0	0	0	0	training	training	-0.37	-1	0	0	0	-3	-1	-2	-1	0	0	-1	-1	1	-1	-3	-1	-3	-1	0	0	1	1	1	0	-1	-1	-1	0	1	2	1	0	1	1	-3	-1	2	0	0	-1	0	-2	1	0	0	-2	-2	0	1	-1	-2	-4
data_0027	male	81.93	white	no	1	0	0	0	0	0	1	training	training	-6.4	-13	-3	-6	-4	-17	-6	-14	0	-2	0	-29	-28	-26	-26	-3	-4	0	0	-27	-30	-28	-16	-4	-3	-1	-4	-17	-14	1	-1	1	0	-2	-4	-4	0	-1	1	2	0	-3	0	-2	-2	-1	-1	-1	2	-5	-2	-3	-4
data_0028	male	62.73	black or african american	no	0	0	0	0	0	0	0	training	training	-0.5	-3	3	2	2	-3	0	1	0	0	2	-1	-1	-1	0	-2	-2	1	-2	0	-1	-2	0	-1	-2	1	-5	1	0	0	0	0	0	0	-2	0	0	-1	-1	-1	0	-2	-3	-1	-1	0	0	1	1	0	0	-2	-1
data_0029	female	51.35	white	no	0	0	0	0	0	0	0	training	training	-0.55	0	-2	-1	-2	0	-1	0	-1	0	2	-3	-1	-2	0	-2	-1	-3	0	-1	-1	0	0	1	0	-2	-3	-1	-2	1	1	1	0	0	-2	-2	0	-1	1	0	-2	-1	0	1	-1	0	0	-1	-1	0	1	0	-3
data_0030	female	61.49	white	no	1	1	0	1	1	1	1	training	training	-13.04	-17	-11	-10	-16	-15	-17	-9	-10	-6	-9	-28	-15	-15	-8	-8	-9	-8	-5	-28	-31	-33	-18	-34	-7	-21	-4	-15	-14	-19	-15	-4	-6	-5	-4	-17	-15	-15	-11	-5	-6	-8	-10	-24	-13	-13	-6	-6	-11	-12	-9	-11	-8
data_0031	male	69.96	white	no	0	0	0	0	0	0	0	training	training	0.03	1	1	1	0	3	1	0	-1	1	-2	-1	2	1	2	1	0	1	0	3	1	2	0	0	-1	-1	-2	1	1	1	0	0	1	1	-4	0	0	-2	-2	-1	0	-2	-1	0	-1	-1	-2	1	-2	0	0	1	0
data_0032	female	60.39	white	no	0	0	0	0	0	0	1	training	training	-0.64	-3	0	-2	0	-1	0	0	0	0	-2	-5	-3	-1	0	0	-2	0	-1	-1	0	-1	-2	0	0	-2	1	2	1	0	-2	-2	0	-3	-1	2	0	0	-1	-1	-1	-1	-3	3	1	-2	-2	0	0	2	-2	0	3
data_0033	male	76.67	white	no	0	0	0	0	0	0	1	training	training	-0.32	1	2	0	4	0	1	1	0	2	0	3	-2	-1	-1	0	1	0	0	-1	0	-1	-2	-2	1	2	1	0	-3	-1	-1	0	0	1	-1	-4	-2	-2	-1	0	-1	0	2	-3	-1	0	0	-1	-4	0	2	1	2
data_0034	male	80.3	white	no	0	1	0	0	0	0	0	training	training	0.03	2	2	-1	-3	2	1	1	0	-1	-1	4	1	0	-1	0	0	-1	0	4	1	-1	1	1	-1	-2	0	-2	1	1	1	1	0	0	1	0	0	-2	0	-2	-1	0	-1	-1	0	1	0	0	-2	-2	1	1	0
data_0035	male	64.21	white	no	1	0	0	1	0	0	1	training	training	-3.26	1	1	-1	-4	-1	0	0	-1	-2	0	-3	-3	-1	-2	-3	-2	0	1	-5	-3	-4	-3	-2	-1	-2	-4	-5	-6	-7	-7	-9	-3	-3	-1	-18	-6	-5	-6	-5	-4	-2	-2	-3	-3	-3	-2	-2	-2	-3	-5	-2	-1
data_0036	female	72.39	white	no	0	1	0	0	0	0	1	training	training	-1	-2	-4	-9	-1	-3	-4	-2	-4	-1	-3	-1	-1	-2	-1	-1	-2	-1	-2	0	0	0	0	0	-2	0	-3	-7	1	1	-1	0	0	-1	-1	2	1	0	-2	-2	-1	-3	-1	1	0	0	0	0	-1	-2	-2	0	-2
data_0037	female	78.21	white	no	1	0	0	0	0	0	0	training	training	-7.58	-2	-1	-14	-15	-2	-2	-5	-8	-8	-10	-14	-4	-3	-7	-11	-12	-7	-7	-13	-11	-4	-5	-4	-4	-5	-7	-28	-6	-6	-8	-4	-5	-7	-12	-16	-7	-9	-7	-7	-6	-7	-14	-14	-9	-9	-9	-4	-10	-11	-6	-6	-8
data_0038	female	59.15	white	no	0	0	0	0	0	0	0	training	training	-0.24	2	1	1	3	0	4	1	1	-1	1	3	2	2	0	0	-1	0	1	2	1	1	-1	0	2	0	1	-7	0	-1	-1	0	1	-2	-1	0	-1	0	-2	0	-2	1	1	-1	-3	-3	-2	-1	-1	-2	-1	-1	-1
data_0039	female	51.55	asian	no	0	0	1	0	0	0	0	training	training	-0.67	-4	-2	-2	-2	-2	-1	-1	-2	1	0	-4	0	1	1	-1	0	1	-2	-2	-1	-1	0	-1	0	-1	0	-2	0	1	0	-2	0	1	-1	0	0	1	-2	-2	-1	0	0	-3	-1	-1	0	1	-1	-1	-3	0	-2
data_0040	female	34.02	black or african american	no	1	0	0	0	0	0	0	training	training	-6.14	-9	-11	-15	-11	-6	-3	-2	-13	-14	-11	-8	-5	-4	-3	-5	-8	-14	-8	-5	-10	-5	-7	-3	-3	-4	-14	-13	-9	-4	-4	-3	-3	-6	-2	-11	-6	-4	-5	-4	-6	-3	-5	-6	-3	-7	-4	-3	-3	-5	-12	-6	-5
data_0041	female	50.35	white	no	1	0	0	0	0	0	0	training	training	-17.05	-30	-30	-29	-29	-31	-32	-32	-32	-31	-30	-31	-33	-31	-32	-31	-33	-32	-21	-29	-32	-33	-34	-33	-23	-26	-20	-10	-16	-9	-5	-6	-6	-4	-6	-12	-7	-5	-4	-4	-5	-3	-7	-10	-3	-6	-8	-3	-4	-6	-4	-5	-2
data_0042	female	55.32	white	no	0	0	0	0	0	0	0	training	training	-0.9	2	-1	0	1	1	1	0	-1	1	2	-1	-2	0	-1	-1	0	1	0	-2	-3	-1	-2	-1	-1	2	-2	-1	-1	0	-1	0	-2	-2	0	-2	-1	-2	-1	-1	-1	0	-2	2	-1	-1	-3	-2	0	-3	-4	-3	-4
data_0043	male	50.25	white	no	0	0	0	0	0	0	0	training	training	0.55	-2	1	2	3	-2	0	1	1	1	2	0	0	0	1	-1	0	1	3	1	-1	-1	1	0	1	1	0	4	-1	1	2	0	-1	1	1	2	0	2	1	-1	1	-1	1	1	1	-1	0	-1	1	4	-1	-1	1
data_0044	male	62.62	white	no	0	0	1	0	0	0	0	training	training	0.76	2	2	1	3	2	1	0	-3	1	-1	1	1	0	2	2	1	-1	-1	2	0	-1	0	1	1	1	0	3	2	3	2	2	1	-1	1	0	2	2	0	1	0	-2	2	3	1	-1	-1	0	-3	2	1	0	0
data_0045	male	78.07	asian	no	1	0	0	0	0	0	0	training	training	-4.38	-6	-11	-10	-15	-7	-6	-6	-5	-6	-18	-5	-3	-5	-4	-6	-4	-5	-4	-4	-4	-4	-3	-4	-4	-1	-1	-5	-3	-4	-2	-4	-3	-1	-2	-10	-4	-3	-4	-3	0	-3	-4	-3	-5	-3	-4	-2	-7	-4	-4	-7	-4
data_0046	female	72.11	white	no	1	0	0	0	0	0	0	training	training	-10.81	-16	-5	-8	-6	-14	-11	-8	-5	-2	-2	-11	-9	-5	-6	-3	-7	-5	-7	-28	-15	-6	-9	-34	-33	-31	-6	-12	-25	-17	-8	-2	-2	-8	-2	-30	-21	-6	-5	-5	-6	-5	-6	-19	-8	-8	-10	-7	-10	-17	-14	-6	-9
data_0047	male	67.28	white	no	0	0	0	0	0	0	0	training	training	-0.82	-2	0	0	-5	0	0	0	-3	-1	-1	-1	-2	-1	-2	-1	-3	-3	-2	-3	-1	0	0	-1	-2	-1	1	1	0	0	0	-2	-2	-1	2	0	0	-1	-1	-1	0	1	1	0	-1	0	-2	1	0	0	0	-2	1
data_0048	male	58.25	white	no	0	0	0	0	0	0	0	training	training	0.29	2	2	2	1	-1	1	2	1	1	2	0	0	1	0	1	-1	1	-2	1	1	1	0	1	1	-2	1	1	1	1	1	-1	1	1	-2	1	0	1	-1	-1	0	-1	1	-1	1	-1	0	-1	0	1	1	0	-2
data_0049	female	69.81	white	no	1	0	1	1	0	0	1	training	training	-14.47	-13	-11	-7	-7	-10	-11	-12	-7	-7	-6	-23	-14	-8	-9	-10	-10	-7	-5	-28	-31	-20	-15	-24	-5	-9	-4	-19	-28	-16	-16	-23	-10	-22	-6	-14	-18	-28	-21	-17	-13	-6	-5	-14	-21	-19	-12	-14	-7	-19	-16	-9	-8
data_0050	female	64.8	white	no	1	0	0	0	0	0	0	training	training	-3.44	-1	0	1	0	-4	-2	-1	-1	0	-2	-4	-8	-4	-3	-4	-2	0	0	-4	-15	-6	-5	-3	-4	-2	-2	-4	-3	-4	-4	-4	-3	-4	1	-5	-1	-2	-3	-5	-4	-2	2	-2	-4	-5	-5	-2	-2	-7	-5	-4	-6
data_0051	male	36.08	black or african american	no	0	0	0	0	0	0	0	training	training	1	2	1	1	2	9	2	2	1	0	0	3	4	3	1	0	0	2	-1	2	-1	2	2	1	1	0	-1	3	2	1	2	0	-1	1	-2	1	1	1	0	1	1	2	-1	2	0	-1	0	0	3	2	1	2	-1
data_0052	male	62.38	white	no	0	0	0	0	0	0	0	training	training	0.24	0	-1	0	-2	0	-2	-2	0	0	2	0	0	0	-1	0	-1	2	2	2	-2	-1	0	1	2	-1	1	2	1	0	1	2	2	1	0	0	1	1	0	0	1	0	-3	-1	-1	-2	-1	1	0	0	2	1	1
data_0053	female	53.3	white	no	0	0	0	0	0	0	1	training	training	-0.38	-2	0	0	0	0	-1	-1	-1	0	1	-2	-2	-1	0	-1	1	2	0	-2	-1	1	0	-1	-1	-1	1	-2	-1	1	-1	0	0	-2	-1	0	-1	-1	-1	-1	-1	1	0	-1	0	1	-1	1	-1	0	0	1	-1
data_0054	female	70.83	white	yes	1	0	0	0	0	0	0	training	training	-3.28	-1	1	-2	1	1	-1	-2	-1	-1	-2	-3	-1	-1	-2	-3	-1	-2	-2	-2	-2	-2	-2	-1	-2	-4	-5	-2	-5	-5	-4	-4	-3	-4	-1	-6	-6	-4	-6	-4	-3	-5	-5	-9	-5	-7	-6	-2	-5	-4	-3	-3	-5
data_0055	female	76.27	white	no	1	0	0	0	0	0	0	training	training	-4.68	-3	-5	-9	-7	-6	-5	-6	-3	-2	-8	-4	-6	-4	-4	-2	-3	-3	-8	-7	-10	-7	-3	-2	-2	-4	-7	-6	-4	-3	-3	-2	-2	-4	-4	-5	-4	-6	-4	-4	-5	-6	-8	-8	-5	-8	-4	-6	-5	-6	-3	-2	-8
data_0056	male	62.83	black or african american	no	1	0	0	0	0	0	0	training	training	-3.36	-6	-18	-3	-2	-8	-7	-4	-6	-3	-8	-15	-3	-4	-2	-1	0	-4	-6	-11	-5	-3	-4	-2	-2	0	-4	-4	-5	-3	-2	-1	0	0	-4	-4	-2	0	-4	-4	0	2	0	-5	-1	-2	-1	-1	-4	-5	-4	-3	-1
data_0057	female	77.53	white	no	1	0	0	0	0	0	0	training	training	-3.16	-2	-1	-2	2	-2	-2	-1	-1	-1	-2	-3	-2	-5	-2	-2	-3	-2	-2	-4	-4	-3	-4	-2	-2	-5	-4	0	-2	-2	-3	-3	-2	-7	-2	-6	-4	-8	-6	-4	-7	-5	-1	-1	-4	-5	-4	-3	-5	-3	-3	-3	-3
data_0058	male	66.23	white	no	1	0	0	0	0	0	1	training	training	-16.33	-4	-14	-19	-13	-14	-4	-15	-29	-25	-11	-22	-11	-9	-12	-25	-16	-7	-3	-11	-17	-8	-15	-6	-6	-4	-5	-28	-27	-33	-34	-13	-5	-5	-1	-31	-25	-23	-32	-34	-20	-6	-4	-17	-19	-23	-19	-18	-16	-11	-16	-7	-20
data_0059	female	73.76	white	no	0	1	1	1	0	0	1	training	training	-0.12	1	3	1	-3	2	0	0	-2	0	1	0	2	0	1	1	0	0	1	-1	2	0	-2	-1	1	1	2	2	0	-1	0	-1	1	1	0	0	-2	-1	-2	1	1	-1	1	-1	0	-2	0	-1	-4	-6	-1	1	0
data_0060	female	42.66	asian	no	0	0	0	0	0	0	0	training	training	-0.01	2	1	4	1	1	0	-1	-2	0	3	0	1	-2	0	0	-1	0	-1	2	-1	-4	-3	-1	0	0	1	3	0	-3	-2	-1	1	0	1	1	1	1	1	0	2	-2	-1	1	-1	1	3	-1	1	0	0	2	1
data_0061	male	75.24	white	no	0	0	0	0	0	0	0	training	training	-0.12	0	0	-2	-3	1	-2	0	-3	-2	-4	1	1	1	-1	0	0	-2	1	2	0	0	0	-1	-1	0	0	-2	1	1	1	1	1	-1	0	1	0	-1	0	0	1	0	-2	0	0	1	1	1	2	-3	0	-1	2
data_0062	female	70.2	black or african american	no	0	0	0	0	0	0	0	training	training	-0.83	-3	1	0	-5	-1	0	0	-1	-3	0	-1	-2	-2	-2	-2	0	1	1	-3	-1	-1	-1	0	0	-1	-2	1	-1	-2	-1	0	1	1	-1	-4	-1	1	-2	2	1	2	-7	0	-1	-4	0	2	1	-1	1	-1	-1
data_0063	female	42.95	asian	no	0	0	0	0	0	0	0	training	training	-0.73	1	-1	1	-4	1	0	0	-2	-2	0	1	0	0	1	0	-1	0	-2	-1	-3	1	0	-1	0	-2	-3	1	0	0	-1	0	0	-1	-4	0	-1	-1	1	-1	-3	-2	-4	-1	0	-1	-1	-1	0	0	-3	-1	-3
data_0064	female	78.49	black or african american	no	1	0	0	0	0	0	0	training	training	-4.15	-9	-5	-3	-5	-4	-5	-2	-3	-2	-2	-6	-2	-4	-3	-6	-4	-2	-1	-3	-3	-2	-2	-1	-2	-4	-4	-5	-6	-7	-3	-2	-2	-3	-5	-10	-5	-4	-5	-2	-2	0	-6	-6	-3	-8	-5	-3	0	-14	-10	-9	-5
data_0065	male	76.41	white	null	0	1	0	1	0	0	1	training	training	-0.94	-1	0	1	-4	-2	-2	0	-2	-1	-1	3	-2	-1	0	0	-1	-3	2	-1	0	0	0	-1	0	-1	0	0	0	0	-2	-1	0	0	-2	-1	-1	0	-2	-1	-2	-4	-1	-3	0	-2	-3	-2	-5	-1	0	0	-3
data_0066	male	35.89	white	no	1	0	0	1	0	0	1	training	training	-6.31	1	-1	0	-1	0	0	0	0	0	3	0	-1	-1	0	0	-2	-1	2	-2	-1	-2	-1	-2	0	-1	1	-31	-16	-25	-14	-3	-2	-1	1	-33	-34	-33	-5	-3	-12	-4	-3	-5	-24	-6	-3	-3	-5	-5	-9	-3	-3
data_0067	male	53.68	white	no	0	0	0	0	0	0	0	training	training	1.7	2	3	2	2	2	1	2	2	0	4	1	3	2	1	2	0	4	2	6	2	1	2	2	1	2	3	3	5	2	2	1	1	3	-2	3	2	3	0	1	2	2	0	1	1	0	0	3	1	2	2	3	1
data_0068	male	68.36	black or african american	no	1	0	0	0	0	0	1	training	training	-5.32	-3	-22	-6	-2	-11	-5	-6	-6	-5	-7	-11	-6	-7	-4	-6	-9	-7	-3	-8	-6	-4	-4	-2	-3	-7	-1	-11	-5	-3	-3	-2	-2	-4	0	-6	-7	-8	-5	-5	-13	-1	-1	-8	-5	-7	-6	-1	-3	-7	-2	0	-3
data_0069	female	64.3	white	no	0	0	0	0	0	0	0	training	training	0.36	1	-2	-1	3	1	-1	1	1	1	2	1	1	1	1	1	1	2	2	0	-2	-1	-1	1	0	1	0	1	-1	0	-1	0	-1	0	1	2	1	0	1	0	-1	0	1	1	1	0	-1	0	1	2	-1	0	0
data_0070	male	68.55	white	no	0	0	0	0	0	0	0	training	training	0.06	2	3	0	-1	1	3	1	0	-2	-1	2	3	2	1	0	-1	-2	-1	3	1	0	0	0	0	-3	-3	1	1	1	0	1	1	0	-1	0	0	-1	0	0	-1	-3	-2	-1	0	0	0	0	-1	-3	0	0	-3
data_0071	male	94.26	white	no	1	1	1	1	0	0	1	training	training	-7.11	-2	-7	-9	-10	3	-1	-7	-4	-2	-3	-5	-1	-5	-5	-4	-6	-3	-3	-4	-5	-4	-4	-2	-3	-6	1	-7	-6	-7	-30	-20	-5	-5	-4	-10	-6	-6	-18	-32	-10	-4	-5	-8	-6	-7	-10	-5	-5	-4	-1	-4	-4
data_0072	male	56.78	white	no	1	1	0	1	0	0	1	training	training	-7.11	-6	-11	-6	-8	-8	-4	-4	-7	-3	-3	-10	-9	-4	-5	-5	0	-2	-7	-16	-15	-12	-13	-10	-1	1	-8	-15	-10	-10	-10	-4	0	-1	-5	-7	-4	-4	-7	-5	-3	-4	-8	-7	-7	-8	-7	-15	-3	-21	-19	-16	-12
data_0073	female	28.04	white	no	0	0	0	0	0	0	0	training	training	0.02	2	1	1	2	4	-1	0	0	-1	3	-1	1	0	0	-1	-4	0	0	-2	0	0	-1	0	0	-1	1	-1	1	0	0	-1	-1	-1	2	3	-1	0	-2	0	1	0	2	0	-1	-1	-1	0	2	3	1	0	1
data_0074	female	62.53	white	no	0	0	0	0	0	0	0	training	training	0.21	-1	1	-2	3	-1	1	1	-1	-1	0	1	1	0	0	-2	-1	2	2	1	-1	2	2	1	1	1	0	-1	-1	1	2	1	1	0	-2	-2	1	0	-1	0	-3	-1	0	1	1	0	0	0	0	2	-1	-2	0
data_0075	female	59.27	white	no	0	0	0	0	0	0	1	training	training	-0.49	-3	-1	1	0	1	-2	-1	0	0	0	1	1	0	-2	-1	-4	0	-2	5	0	-1	-1	0	0	-1	0	-1	0	0	1	-1	-2	-1	4	3	1	1	-2	-1	-4	-1	0	-5	-1	-1	0	-1	0	-2	-1	1	0
data_0076	male	67.42	white	no	0	0	0	0	0	0	1	training	training	-0.32	1	1	1	-1	-1	1	-1	1	1	1	1	1	1	0	1	-1	1	-1	2	0	-1	0	1	1	-1	-2	3	0	-1	1	0	1	-1	-1	-2	-1	0	1	-1	0	0	-2	-3	-1	-2	-7	-1	2	2	-3	-3	-2
data_0077	male	56.17	asian	no	1	0	0	0	0	0	0	training	training	-3.5	-4	-5	-11	-3	-1	-1	-3	-3	-4	-1	-10	-4	-1	-1	-2	-1	0	-6	-8	-8	-5	-3	-1	0	0	-5	-6	-7	-3	-2	-1	0	-3	-8	-4	-2	-3	-2	-1	-2	-2	-9	0	-4	-3	-3	-1	-6	-14	-15	-1	-2
data_0078	female	80.68	white	no	0	0	0	0	0	0	0	training	training	-0.96	-4	-1	-1	-1	0	-1	-2	-1	-2	0	-4	-1	-1	-1	-2	-1	0	-3	-1	-1	-1	-2	0	1	1	-1	0	0	0	-2	0	1	-2	-5	-1	-2	0	0	0	-1	-5	0	-1	-2	-2	-2	1	-1	-1	-1	-3	0
data_0079	male	69.73	white	no	1	0	0	0	0	0	0	training	training	-4.19	-7	-23	-9	-7	-7	-6	-6	-4	-3	-5	-6	-5	-4	-3	-5	-4	-3	-4	-6	-7	-6	-5	-3	-2	-2	-5	-7	-4	-4	-2	-4	-5	-6	-5	-6	-2	-1	-2	-3	-5	-4	-2	-2	-1	-2	-4	-1	-2	-2	-6	-2	-1
data_0080	female	51.74	white	no	1	0	0	0	0	0	1	training	training	-5.21	-13	-4	-24	-9	-13	-9	-9	-9	-3	-4	-14	-10	-9	-6	-3	-3	-1	-16	-5	-5	-7	-9	-7	-3	-1	-6	-8	-5	-5	-6	-4	-1	-1	-4	-5	-2	-2	-6	-2	-2	-1	-3	-1	-4	-7	-1	0	0	-5	-5	2	4
data_0081	male	59.49	white	no	1	0	0	0	0	0	1	training	training	-3.67	3	1	1	4	-6	-4	0	-2	-2	0	-11	-5	-33	-33	-4	0	-2	0	-20	-24	-25	-23	-4	1	1	-1	-4	0	2	0	0	2	1	-2	1	3	2	0	0	1	0	-1	3	1	2	0	1	1	1	0	1	-1
data_0082	male	89.32	asian	no	1	0	0	0	0	0	1	training	training	-6.78	-12	-23	-27	-14	-7	-11	-9	-5	-6	-13	-7	-7	-9	-9	-6	-7	-7	-15	-7	-7	-4	-5	-6	-6	-6	1	-12	-7	-5	-7	-3	-4	-4	-3	-10	-3	-6	-4	-7	-8	-8	-5	-4	-3	-5	-7	-8	-9	-4	-1	-6	-8
data_0083	female	71.05	asian	no	1	0	0	0	0	0	1	training	training	-4.91	-2	-5	-3	-2	-4	-6	-3	-4	-5	-6	-6	-2	-3	-2	-5	-7	-2	-3	-11	-8	-5	-4	-4	-5	-2	-7	-8	-4	-3	-5	-6	-3	-5	1	-7	-15	-3	-4	-3	-4	-5	-8	-8	-5	-4	-6	-3	-12	-3	-6	-4	-10
data_0084	female	67.37	white	null	1	0	0	1	0	0	1	training	training	-7.62	1	-5	-6	-23	-1	-4	-3	-10	-15	-8	-30	-1	-15	-12	-22	-16	-3	-10	-28	-23	-25	-16	-32	-3	-23	-3	-1	0	-1	0	-1	0	0	0	-3	1	-2	-3	-3	-5	-2	1	0	-1	0	-5	-26	-3	1	-4	-3	-8
data_0085	female	64.76	white	no	0	0	0	0	0	0	0	training	training	0.73	5	3	1	1	1	1	2	3	3	4	-2	0	-1	1	2	2	1	3	4	1	1	1	2	2	0	0	0	1	1	-1	1	1	-1	0	-1	1	0	0	-1	-3	-2	0	1	-1	0	0	0	2	0	1	2	1
data_0086	male	65.23	white	no	0	0	0	0	0	0	0	training	training	0.46	3	3	1	2	2	2	2	0	-2	-2	2	1	1	2	0	-2	-2	-1	-2	-1	1	0	2	1	0	-1	-4	0	-1	1	2	1	-3	1	0	0	0	1	1	1	1	-1	0	-1	1	-1	1	2	1	1	1	1
data_0087	female	59.45	black or african american	no	0	0	1	0	0	0	0	training	training	0.53	2	2	1	1	1	0	2	-1	1	2	1	0	2	2	1	0	0	-2	-3	-2	1	1	2	0	1	0	0	1	1	1	0	1	-1	1	-2	1	0	1	1	1	0	1	1	0	1	1	0	1	-2	0	-4	2
data_0088	female	57.16	white	no	1	0	0	0	0	0	0	training	training	-11.37	-2	-2	-1	3	2	1	1	-1	2	3	0	2	2	0	-1	0	-1	0	-1	-2	0	0	2	1	-2	0	-29	-32	-33	-34	-12	0	-1	0	-28	-33	-34	-34	-34	-33	-4	0	-28	-33	-33	-21	-4	-3	-17	-16	-4	-10
data_0089	female	38.87	white	no	1	0	0	0	0	0	0	training	training	-9.91	-18	-15	-13	-10	-18	-9	-9	-7	-7	-9	-16	-6	-3	-6	-7	-8	-11	-7	-11	-8	-6	-6	-9	-7	-9	-12	-23	-19	-6	-7	-5	-6	-6	-7	-15	-9	-8	-6	-4	-8	-4	-12	-14	-24	-19	-4	-14	-9	-26	-19	-16	-9
data_0090	female	49.18	white	no	0	0	0	0	0	0	0	training	training	-0.15	-3	-1	1	1	0	-1	0	0	0	0	0	-1	-1	0	0	-1	0	1	-2	0	0	0	-2	-1	0	-2	-1	0	1	1	1	0	1	0	-3	-1	1	-1	1	1	-1	-1	-1	1	1	1	-1	3	1	-1	1	-1
data_0091	male	75.12	white	no	0	0	0	0	0	0	0	training	training	1.66	4	1	3	4	3	2	3	2	2	5	4	2	2	3	2	0	2	4	3	1	3	3	1	2	2	0	1	1	1	3	1	2	0	-1	-1	0	1	1	1	0	1	2	2	0	1	2	2	0	1	2	0	3
data_0092	female	65.42	white	no	0	1	1	1	0	0	1	training	training	-0.2	1	0	-1	-2	2	-3	0	2	2	1	-1	-1	-1	-1	-1	0	-1	0	0	0	-1	-1	0	0	0	0	0	2	1	0	1	-1	-1	0	1	0	0	-1	0	-2	0	-1	1	1	-1	-2	-1	-2	2	1	-1	0
data_0093	female	55.96	white	no	1	0	0	0	0	0	0	training	training	-6.44	-24	-18	-14	-16	-5	-7	-3	-13	-3	-26	-4	-3	-3	-3	-14	-13	-6	-18	1	-4	-4	-2	-4	-2	-4	-11	-3	-8	-6	-4	-2	-3	-4	-5	-8	-4	-4	-3	-6	-6	-5	-6	-5	-2	-5	-7	-9	-9	-3	-9	-11	-12
data_0094	male	74.98	asian	no	1	1	1	1	0	0	1	training	training	-7.73	-18	-13	-13	-17	-16	-13	-12	-17	-8	-11	-14	-8	-11	-11	-11	-10	-9	-3	-18	-14	-7	-5	-8	-9	-16	-4	-7	-8	-5	-4	-4	-7	-7	-4	-7	-3	-2	-5	-8	-6	-7	-10	-2	-3	-5	-5	-4	-6	-3	-8	-4	-11
data_0095	female	75.88	white	no	1	0	0	0	0	0	0	training	training	-3.68	-14	-23	-9	-11	-5	-4	-13	-5	-1	-9	-6	0	0	-2	-8	-1	-1	1	-6	-6	-3	-2	-4	-5	-3	-8	-8	-3	0	-1	-4	-3	-1	-4	-3	-1	-2	-5	-2	-3	-6	-7	-6	-2	-4	-4	-2	-1	-2	-3	-3	-4
data_0096	female	59.25	white	no	0	0	0	0	0	0	0	training	training	-0.28	3	1	-2	-1	4	1	-1	0	0	3	1	-1	0	-1	0	-1	-2	-3	-4	-3	-1	-2	0	1	0	-1	0	0	0	-1	1	0	-1	1	0	-1	0	1	1	1	-1	0	-2	1	-1	1	1	-1	0	-5	-1	-1
data_0097	female	60.97	white	yes	1	0	0	0	0	0	1	training	training	-21.36	-18	-20	-29	-24	-12	-13	-12	-21	-13	-13	-28	-19	-19	-8	-13	-17	-13	-14	-28	-31	-22	-11	-2	-4	-7	-8	-29	-31	-33	-34	-17	0	-14	0	-31	-33	-34	-34	-34	-33	-32	-13	-31	-30	-33	-33	-30	-28	-29	-31	-31	-18
data_0098	female	63.24	black or african american	no	1	0	0	0	0	0	0	training	training	-7.63	-29	-29	-23	-24	-23	-16	-31	-16	-11	-11	-16	-10	-8	-11	-7	-6	-6	-9	-12	-8	-9	-8	-10	-6	-6	-3	-17	-4	-6	-4	-3	-2	0	-1	-5	-4	-3	-4	-4	-1	-2	-7	-6	-5	-4	-5	-1	-1	-6	-4	-11	-10
data_0099	female	86.01	black or african american	no	1	1	1	1	0	0	1	training	training	-12.46	-15	-23	-15	-23	-22	-14	-25	-29	-2	-6	-29	-31	-29	-32	-31	-7	-9	-11	-27	-30	-32	-33	-33	-32	-7	-1	-23	-17	-3	-3	-1	0	-1	-4	-3	-3	-3	-2	-3	-3	-6	-4	-2	-4	-8	-6	-4	-3	-5	-4	-4	-1
data_0100	female	61.27	white	no	0	0	0	0	0	0	0	training	training	0.14	0	3	1	-2	0	2	2	3	4	3	-3	-1	1	1	2	3	2	-1	-1	-1	0	-1	1	-1	1	1	-2	-3	1	1	-1	-1	2	2	-1	-1	-1	1	1	0	0	0	1	0	-1	-1	0	-1	-3	0	-2	0

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Dataset Card: Harvard-GDP

Dataset Summary

Harvard-GDP (Harvard Glaucoma Detection and Progression) is a multimodal multitask ophthalmology dataset for glaucoma detection and progression forecasting. It is the largest publicly available glaucoma detection dataset with 3D OCT imaging data and the first publicly available glaucoma progression forecasting dataset. The dataset includes detailed demographic annotations (sex, race) to support fairness learning research.

This dataset was introduced at ICCV 2023: Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.

Dataset Details

Dataset Description

Field	Value
Institution	Department of Ophthalmology, Harvard Medical School
Tasks	Glaucoma detection, glaucoma progression forecasting
Modality	OCT RNFLT maps, visual field (MD, TDs)
Scale	1,000 patients, 1,000 OCT RNFLT maps
Image size	225 × 225 (RNFLT map)
License	CC BY-NC-ND 4.0

Curated by: Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
License: CC BY-NC-ND 4.0 — non-commercial research only
Paper: ICCV 2023
Contact: harvardophai@gmail.com, harvardairobotics@gmail.com

Data Fields

Each subject is stored as a .npz file (data_0001.npz … data_1000.npz) in the rnflt_maps/ folder:

Field	Description
`rnflt`	OCT retinal nerve fiber layer thickness (RNFLT) map, size 225 × 225
`glaucoma`	Glaucomatous status: `0` = non-glaucoma, `1` = glaucoma
`progression`	Vector of 6 progression labels: `0` = non-progression, `1` = progression (first 500 subjects only)
`md`	Mean deviation value of visual field
`tds`	52 total deviation values of visual field
`age`	Patient age
`male`	Gender: `0` = Female, `1` = Male
`race`	Patient race
`hispanic`	Patient ethnicity

Progression Labels

Progression labels are defined for the first 500 subjects (data_0001 – data_0500) only, using 6 criteria:

Index	Criterion
`progression[0]`	MD-based
`progression[1]`	VFI-based
`progression[2]`	TD pointwise
`progression[3]`	MD fast
`progression[4]`	MD fast (no p-value cutoff)
`progression[5]`	TD pointwise (no p-value cutoff)

Uses

Direct Use

Glaucoma detection benchmarking with 3D OCT imaging data
Glaucoma progression forecasting (unimodal and multimodal)
Semi-supervised learning research with limited labeled medical data
Fairness and demographic disparity analysis in ophthalmic AI

Out-of-Scope Use

Clinical decisions, patient care, or any commercial application. This dataset shall not be used for clinical decisions at any time.

Access

The "Harvard" designation indicates the dataset originates from the Department of Ophthalmology at Harvard Medical School. It does not imply endorsement, sponsorship, or legal responsibility by Harvard University or Harvard Medical School.

Citation

BibTeX:

@inproceedings{luo2023harvard,
  title={Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning},
  author={Luo, Yan and Shi, Min and Tian, Yu and Elze, Tobias and Wang, Mengyu},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={20471--20482},
  year={2023}
}

APA:

Luo, Y., Shi, M., Tian, Y., Elze, T., & Wang, M. (2023). Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), 20471–20482.

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