Datasets:

vykrum
/

arch-regression-dataset

id int64 1 128	room_depth float64 6.11 23.8	room_width float64 6.05 21.8	aspect_ratio float64 0.36 3.71	wwr float64 0.2 0.8	louver_angle float64 2.5 69.2	overhang_depth float64 0.08 2.19	orientation_azimuth float64 -70.4 73	glazing_u_val float64 1 3	actual_sda_percent float64 15.1 52.5	pred_sda_percent float64 15.9 53.2	residual_sda_percent float64 -2.2 2.2	actual_cooling_load float64 64 132	pred_cooling_load float64 63.2 130	residual_cooling_load float64 -2.6 2.6	actual_peak_stress float64 13.5 79.4	pred_peak_stress float64 12.4 78.5	residual_peak_stress float64 -1.6 1.6	actual_embodied_carbon float64 223 513	pred_embodied_carbon float64 226 513	residual_embodied_carbon float64 -4.7 4.7
1	18.03	8.25	2.19	0.28	36.6	0.37	-35.6	2.45	23.1	21.6	1.5	90.6	89.2	1.4	45.4	45.4	0	330.4	329.3	1.1
2	10.68	14.28	0.75	0.22	57	1.27	-15.4	1.3	17.3	18.2	-0.9	64.1	64.3	-0.2	30.3	31	-0.7	308	311.9	-3.9
3	18.47	14.26	1.3	0.31	2.9	0.68	12.5	2.64	22.2	22.4	-0.2	99.6	100.9	-1.3	48	46.9	1.1	346.5	342.2	4.3
4	20.07	16.02	1.25	0.27	17.5	1.7	-31.6	2.3	19	17	2	90.2	90.3	-0.1	53.5	53.2	0.3	400.9	402.1	-1.2
5	9.93	6.21	1.6	0.42	18.7	0.15	32.7	1.14	36	33.8	2.2	77.7	77.4	0.3	21.7	21.7	0	270.9	274	-3.1
6	6.23	6.05	1.03	0.24	45.8	0.08	62	2.86	26	25.4	0.6	83.2	80.8	2.4	13.5	12.4	1.1	222.9	225.7	-2.8
7	15.58	12.41	1.26	0.38	63.5	1.29	35.3	1.04	22.6	24.7	-2.1	68.3	69.4	-1.1	36.2	34.9	1.3	353.3	351.7	1.6
8	19.97	8.38	2.38	0.28	15.1	1.3	1.9	2.97	23.8	24.6	-0.8	101.2	100.1	1.1	55.1	56.7	-1.6	387.8	383.3	4.5
9	12.22	20.87	0.59	0.22	15.4	0.58	-69.2	1.43	24.8	24.4	0.4	65.4	68	-2.6	57.3	56	1.3	361	359.3	1.7
10	19.52	19.21	1.02	0.21	2.9	1.85	59.4	1.48	22.4	24	-1.6	73.1	73.3	-0.2	52.9	53.3	-0.4	381.2	379.3	1.9
11	9.29	6.47	1.44	0.34	65.3	2.17	42.2	1.27	21.9	20.5	1.4	64.3	64.6	-0.3	20	20.7	-0.7	319	319.9	-0.9
12	13.05	20.09	0.65	0.47	24.4	2.12	-5.5	2.09	29.3	30.7	-1.4	91	89	2	54.7	53.7	1	452.8	454.9	-2.1
13	13.27	15.45	0.86	0.44	8.7	2	69.6	2.78	25.2	24.5	0.7	104.3	104.9	-0.6	39.3	40.3	-1	389.3	387.2	2.1
14	12.11	14.41	0.84	0.68	17.3	1.95	24.7	1.38	33.2	32	1.2	100.7	101.4	-0.7	33.9	33.6	0.3	420.6	424.2	-3.6
15	20.02	21.25	0.94	0.77	32.7	1.96	70.4	1.31	29.7	28.4	1.3	106	106	0	65.1	63.9	1.2	513.1	511.7	1.4
16	15.38	17.53	0.88	0.32	37.1	1.74	12.3	1.4	24.7	22.7	2	71.3	69.8	1.5	43.8	42.7	1.1	375.3	373.1	2.2
17	21.88	13.52	1.62	0.42	31.8	1.68	24.4	3	22.1	23.7	-1.6	107.2	105.6	1.6	66.9	67.2	-0.3	448.6	447.5	1.1
18	23.21	7.26	3.2	0.48	61.6	0.69	62.9	2.76	23.7	21.5	2.2	103.2	103.6	-0.4	70.7	72	-1.3	442.9	444.6	-1.7
19	17.8	21.75	0.82	0.38	65.8	1.65	-70.4	1.68	20	17.9	2.1	81	81.1	-0.1	63.7	63.2	0.5	433.3	434.3	-1
20	17.59	15.69	1.12	0.39	46.6	0.22	-54.6	2.69	23.8	26	-2.2	95.9	93.3	2.6	45.6	45.1	0.5	337.7	334.7	3
21	17.59	7.74	2.27	0.77	12.6	1.44	-45.2	2.28	36.9	38.5	-1.6	121.5	122.1	-0.6	47.4	47.2	0.2	443.8	446.6	-2.8
22	15.98	14.6	1.09	0.6	28.8	1.44	71.2	2.39	29	28.2	0.8	107.7	109.3	-1.6	41.2	40.6	0.6	402.5	404.9	-2.4
23	14.13	21.84	0.65	0.5	60.2	0.09	-13	1.84	24	24.3	-0.3	85.6	83	2.6	67.3	67.2	0.1	406.9	406.8	0.1
24	18.86	12.62	1.49	0.26	13.2	1.75	-5.5	2.81	23.8	23.8	0	93.4	95.7	-2.3	51.3	51.7	-0.4	385.1	388.4	-3.3
25	15.09	11.19	1.35	0.24	7.6	1.99	18.8	2.84	21.6	20	1.6	91.3	89.4	1.9	34.5	33.3	1.2	340.1	341.6	-1.5
26	6.39	9.77	0.65	0.75	57.9	1.82	-15.2	2.2	29.9	31.2	-1.3	97.5	97.7	-0.2	21.7	20.1	1.6	390	386.1	3.9
27	15.55	18.59	0.84	0.51	50.4	1.98	26.6	2.78	22.4	22	0.4	105.3	106.8	-1.5	51.6	53	-1.4	435.5	437	-1.5
28	7.61	18.76	0.41	0.76	59.4	0.41	31.8	2.93	39.1	40.5	-1.4	109.9	112	-2.1	51.4	50.7	0.7	431.1	429.8	1.3
29	16.36	20.69	0.79	0.75	4.2	1.86	-22.9	2.7	33.6	31.8	1.8	131.7	129.8	1.9	62.9	62.9	0	501.5	497	4.5
30	15.97	16.51	0.97	0.39	9.1	0.44	37	1.23	27.6	27.4	0.2	79.9	80.2	-0.3	43	43.7	-0.7	334.8	339.5	-4.7
31	14.67	15.9	0.92	0.52	3.1	0.62	56.5	2.85	37.3	39.4	-2.1	111.5	110.1	1.4	39.3	40.4	-1.1	365.4	361.2	4.2
32	20.92	13.26	1.58	0.7	54.8	1.96	-37.5	2.76	21.4	21.9	-0.5	116.7	116.5	0.2	63.2	63.1	0.1	494.8	492.7	2.1
33	12.61	8.24	1.53	0.27	7.7	1.09	1.9	1.7	24.9	25.7	-0.8	74	74.7	-0.7	28.5	28	0.5	305.8	310.2	-4.4
34	12.09	10.56	1.14	0.37	28.7	1.22	-58.5	1.28	29.7	29.2	0.5	76.1	76.6	-0.5	26.5	27.8	-1.3	317.9	321	-3.1
35	8.01	13.57	0.59	0.32	47.7	2.09	-60.2	1.59	24	23.5	0.5	70.6	70.5	0.1	32.5	31.4	1.1	352.1	349.8	2.3
36	14.55	14.4	1.01	0.4	46.3	0.61	-48.8	1.97	23	21.3	1.7	82.9	81.5	1.4	33	33.7	-0.7	323.9	327.6	-3.7
37	6.63	13.06	0.51	0.22	60.3	0.09	-51.9	2.14	23.1	24.7	-1.6	72.8	70.4	2.4	28.6	29.9	-1.3	269.6	265.6	4
38	8.24	21.83	0.38	0.38	8.7	0.59	-63.2	1.3	33.5	31.9	1.6	76.3	77	-0.7	64.4	63.1	1.3	404.6	406.7	-2.1
39	21.93	15.08	1.45	0.41	34.1	1.11	-69.6	2.89	22.7	23.1	-0.4	103.3	105.4	-2.1	66.8	66.7	0.1	431.9	429.3	2.6
40	17	15.3	1.11	0.31	3.3	0.11	-39.7	2.83	27.8	26	1.8	101.1	103.1	-2	41.2	42.4	-1.2	314.5	313.7	0.8
41	19.06	13.85	1.38	0.3	10	2.15	-3.5	1.41	20.7	20.1	0.6	75.9	74.2	1.7	51.7	52.4	-0.7	398.6	397.3	1.3
42	10.05	17.05	0.59	0.47	64.6	0.08	-68.2	1.5	23	22.8	0.2	76	78.4	-2.4	45.5	44.7	0.8	348.6	349.8	-1.2
43	21.18	7.02	3.02	0.25	12	0.84	-13	2.38	20.9	22.4	-1.5	92.4	91.9	0.5	59.2	60.2	-1	374.2	377.7	-3.5
44	15.67	9.31	1.68	0.55	51.1	1.29	-45.9	2.49	28.6	27.1	1.5	100	99.9	0.1	38.8	39.4	-0.6	386.7	382	4.7
45	15.23	21.14	0.72	0.64	51.7	0.43	-57.9	2.24	30.8	31.4	-0.6	105.1	105.3	-0.2	62.4	62.8	-0.4	431	432.3	-1.3
46	21.84	12.98	1.68	0.22	41.4	2.09	39.1	1.75	18.4	16.5	1.9	77.3	75.2	2.1	62.1	63.4	-1.3	428.8	432.7	-3.9
47	23.2	21.83	1.06	0.6	57.1	0.53	-6.4	1.85	21.9	23.3	-1.4	100.8	103	-2.2	74	75.5	-1.5	463.8	459.6	4.2
48	20.77	7.9	2.63	0.68	37.9	1.08	-69.5	1.86	27.4	28.3	-0.9	104.6	102.7	1.9	61	61.5	-0.5	456.1	452.3	3.8
49	6.19	17.43	0.36	0.64	50.6	2.19	6.7	2.42	32.5	34.4	-1.9	95.6	95.4	0.2	45.7	44.8	0.9	452.2	447.8	4.4
50	7.66	12.7	0.6	0.65	2.5	1.34	72.1	1.62	43.8	43	0.8	102.5	102.6	-0.1	31.6	33.1	-1.5	377.6	373.8	3.8
51	6.74	18.36	0.37	0.66	49.8	1.64	-44.4	2.86	32.3	33.6	-1.3	105.8	103.8	2	49.5	50.7	-1.2	442	437.6	4.4
52	18.19	9.42	1.93	0.37	46.9	0.34	32.8	2.33	24.7	25.6	-0.9	88.5	89.5	-1	47	46.8	0.2	354.5	354.2	0.3
53	17.98	18	1	0.34	57.5	0.3	27.4	2.19	21.7	19.9	1.8	88.4	86.6	1.8	45.4	46.9	-1.5	341.3	341.3	0
54	18.07	13.13	1.38	0.8	19.4	0.43	-28.4	2.21	40.3	39.9	0.4	121.1	120.5	0.6	48.5	47.1	1.4	427.6	423.3	4.3
55	21.34	14.13	1.51	0.43	21.7	1.85	-20.9	1.14	20.9	19.7	1.2	83.3	81.1	2.2	63.3	62.3	1	451.8	456.5	-4.7
56	15.61	17.12	0.91	0.25	14.4	0.98	-36.9	1.71	21.1	21.8	-0.7	74.4	72.1	2.3	42.3	43.3	-1	336.3	338.8	-2.5
57	15.5	14.46	1.07	0.75	3	2.15	22.7	2.6	34.1	34.9	-0.8	124.1	124.6	-0.5	39.3	40.2	-0.9	451.4	447.7	3.7
58	16.86	12.68	1.33	0.47	29.2	1.87	27.2	1.13	27.5	25.9	1.6	84.2	84.2	0	42.4	43.1	-0.7	396.5	399.2	-2.7
59	22.22	9.87	2.25	0.57	33.1	1.82	8.3	2.59	23	24.6	-1.6	111	112.2	-1.2	66	65.7	0.3	476.3	479.6	-3.3
60	21.35	15.39	1.39	0.33	38	1.23	21.7	1.02	21.2	21.6	-0.4	71.1	70.9	0.2	62.6	63.5	-0.9	406.3	406.1	0.2
61	11.24	7.12	1.58	0.51	63.2	0.52	-21.1	2.59	24.4	22.6	1.8	94.9	96.5	-1.6	24.4	24.7	-0.3	308.5	304.9	3.6
62	17.62	16.52	1.07	0.67	21	2.07	61.8	1.27	27.5	27.9	-0.4	96.8	98.8	-2	48.6	47.1	1.5	449.6	448.3	1.3
63	21.92	6.44	3.4	0.74	26.9	0.12	24.5	2.05	36.7	38.2	-1.5	116.4	114.1	2.3	66.6	65.4	1.2	460.4	462.8	-2.4
64	12.67	12.76	0.99	0.4	32.6	0.95	45.9	2.76	27.9	27	0.9	97.4	95.6	1.8	30.2	31.5	-1.3	324.7	323.2	1.5
65	15.5	18.29	0.85	0.74	51.6	1.48	42.3	1.76	27	24.8	2.2	100.6	98.6	2	49.1	50.6	-1.5	456.3	459.9	-3.6
66	17.15	6.19	2.77	0.32	58.9	1.69	-4.6	1.99	19.7	21.8	-2.1	81.8	79.2	2.6	43.3	43.6	-0.3	376.9	380.7	-3.8
67	20.05	15.67	1.28	0.64	34.4	2.11	-31.2	1.79	25.3	24.5	0.8	106.6	109.1	-2.5	56.5	55.9	0.6	468.7	466.9	1.8
68	17.73	20.86	0.85	0.59	30.2	2.08	-53.6	2.36	24.1	21.9	2.2	110	107.6	2.4	60	61.4	-1.4	471.7	473.3	-1.6
69	9.99	18.78	0.53	0.43	8.4	1.48	2.4	1.84	31.2	32.8	-1.6	88.4	87	1.4	51	52.2	-1.2	408.6	411.2	-2.6
70	10.5	8.8	1.19	0.53	45.9	1.99	-64	2.82	24.8	26.5	-1.7	103.4	101.3	2.1	23.8	24.6	-0.8	361.4	365.4	-4
71	7.48	13.39	0.56	0.32	45.2	1.64	-46.4	2.67	22.7	22	0.7	87.4	86	1.4	29.9	30.9	-1	339.1	341.2	-2.1
72	15.33	18.71	0.82	0.32	15.6	1.37	53.9	2.32	23.2	22.2	1	90.5	89.5	1	50.1	50.2	-0.1	377.9	378.6	-0.7
73	23.83	16.89	1.41	0.71	65	1.11	39.5	1.84	20.9	19.2	1.7	103.7	103.3	0.4	79.4	78.5	0.9	511.8	513.4	-1.6
74	16.91	7.73	2.19	0.39	10.4	0.52	-29.3	1.64	28.9	31.1	-2.2	84	83.6	0.4	41.3	42.7	-1.4	338.4	337.8	0.6
75	15.78	11.06	1.43	0.7	53.3	1.77	8	2.25	28.6	27.9	0.7	108.5	106.4	2.1	40.6	39.2	1.4	429.2	426.4	2.8
76	21.88	13.21	1.66	0.45	42.6	2.18	-44.2	1.68	20.5	18.8	1.7	88.5	89.4	-0.9	64	65.1	-1.1	473.3	469.4	3.9
77	16.39	13.87	1.18	0.31	48.8	0.09	-59.9	1.29	22.9	20.9	2	69	71.5	-2.5	39	40.5	-1.5	307.1	303.7	3.4
78	19.52	9.91	1.97	0.73	55.2	0.4	70.6	2.55	27.9	25.9	2	111.5	110	1.5	57.6	58.3	-0.7	430	426.5	3.5
79	12.95	18.41	0.7	0.2	17.7	0.84	16.1	1.72	21.8	22.2	-0.4	68.5	69.7	-1.2	45.5	45	0.5	338.2	333.5	4.7
80	23.43	11.88	1.97	0.31	69.2	1.14	-11.1	1.58	15.1	15.9	-0.8	76	77.6	-1.6	71.4	70.2	1.2	431.5	434.7	-3.2
81	8.75	12.99	0.67	0.78	64.9	1.61	-44.1	1.46	29.5	30.9	-1.4	90.2	89.6	0.6	33.3	32.6	0.7	413	412.5	0.5
82	23.47	12.69	1.85	0.7	3.7	0.57	50.7	2.54	36.2	38.3	-2.1	129.5	127.4	2.1	76.3	75.8	0.5	477.4	478.1	-0.7
83	13.82	9.69	1.43	0.74	53	2.1	-29.8	1.08	26.4	27.6	-1.2	91.8	93	-1.2	34.6	34.2	0.4	425.7	422.2	3.5
84	16.09	6.17	2.61	0.43	16.3	0.32	-17	1.69	28.5	27.2	1.3	92.5	91.9	0.6	40.6	42.2	-1.6	332.8	334.1	-1.3
85	14.83	20.39	0.73	0.55	16.2	0.21	-51.2	2.92	37.3	38.3	-1	110.9	113.1	-2.2	60.6	59.2	1.4	399.8	400	-0.2
86	9.41	12.36	0.76	0.36	58.9	0.32	-62.4	1.67	22.4	24.6	-2.2	71.1	69	2.1	25.9	26.5	-0.6	294.1	294.8	-0.7
87	16.5	6.83	2.42	0.33	8.8	0.68	51	1.13	24.4	23.8	0.6	78.8	79.3	-0.5	40.6	41.1	-0.5	329.3	326.6	2.7
88	13.14	10.49	1.25	0.7	48.6	1.78	73	1.91	26.9	25	1.9	100.2	98.4	1.8	32.9	33.2	-0.3	396.7	392	4.7
89	6.11	10.22	0.6	0.66	11.1	1.23	56.7	2.56	51.2	53.2	-2	111.8	109.8	2	22.9	24.2	-1.3	361.5	361.9	-0.4
90	16.73	16.97	0.99	0.2	54.6	1.75	46.1	1.65	21	23	-2	71	69.1	1.9	43.2	42	1.2	352.5	349.2	3.3
91	6.66	13.68	0.49	0.26	24.6	2.12	-24.2	2.44	24	24.1	-0.1	78.9	79.5	-0.6	29.9	31.1	-1.2	335	336.8	-1.8
92	19.13	14.91	1.28	0.37	37.1	2.1	-4.6	2.59	23.2	22.1	1.1	94.8	95.7	-0.9	50.7	51.7	-1	417.9	417.3	0.6
93	23.52	16.35	1.44	0.42	55	1.41	21.3	1.31	20.8	22.6	-1.8	80.5	82.4	-1.9	72.7	72.6	0.1	460.3	457.3	3
94	14.42	13.05	1.1	0.79	18.2	1.88	10.4	2.26	36.5	37	-0.5	120.9	119.6	1.3	37	38.1	-1.1	428.6	426.6	2
95	7.32	20.48	0.36	0.75	6.6	0.8	70.2	2.95	52.5	51.9	0.6	121.3	121.7	-0.4	58.4	58	0.4	455.8	451.8	4
96	10.97	11.08	0.99	0.42	4.7	1.61	-39	1.56	30.1	31.1	-1	87	86.2	0.8	22.5	23.3	-0.8	326.9	326	0.9
97	23.45	10.85	2.16	0.44	43.5	0.29	70.4	1.55	24	22.1	1.9	86.7	86.7	0	73	73.3	-0.3	423.8	421.7	2.1
98	16.09	10.12	1.59	0.37	37.5	0.9	63.5	1.62	26.7	26.3	0.4	77.8	79.3	-1.5	38.7	37.7	1	341	336.4	4.6
99	22.68	9.56	2.37	0.2	68.1	0.17	-34.6	2.22	18.9	17.5	1.4	79.1	76.5	2.6	69.6	68.9	0.7	376.1	373.6	2.5
100	22.19	16.77	1.32	0.41	30.8	0.67	-61.9	2.52	23.5	24.3	-0.8	101.4	102.2	-0.8	66.8	68.3	-1.5	418.2	416.7	1.5

End of preview. Expand in Data Studio

YAML Metadata Warning:The task_ids "multi-target-regression" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

Architectural Parametric Spatial Regression Dataset (HYWE Benchmark)

An open-source benchmark dataset designed for training and evaluating fast machine learning surrogate models for early-stage architectural design exploration.

Eliminates proprietary CAD/BIM software dependencies (Rhino, Grasshopper, Revit) by providing standardized tabular matrices and 3D glTF/GLB geometric meshes with per-vertex physical simulation scalars.

Dataset Summary

Task: Multi-Target Tabular Regression & 3D Spatial Feature Mapping
Design Space: Parametric room massing, facade window-to-wall ratios (WWR), exterior shading louvers, structural spans, and envelope thermal conductance.
Physics Engines Emulated: Radiance (Daylighting), EnergyPlus (Annual Cooling Loads), and OpenSees (Structural Von Mises Stress).

Feature Matrix ($X$)

Feature	Type	Range	Unit	Description
`room_depth`	float	6.0 – 24.0	m	Length of the architectural zone from facade to rear wall
`room_width`	float	6.0 – 22.0	m	Width of facade aperture and lateral structural span
`aspect_ratio`	float	0.35 – 3.5	ratio	Room depth divided by room width
`wwr`	float	0.15 – 0.85	ratio	Window-to-Wall Ratio on primary South aperture
`louver_angle`	float	0 – 75	deg	Tilt angle of exterior shading louvers
`overhang_depth`	float	0.0 – 2.5	m	Exterior roof overhang projection depth
`orientation_azimuth`	float	-90 – +90	deg	Azimuth deviation from true South (0°)
`glazing_u_val`	float	0.8 – 3.2	W/m²K	Thermal transmittance coefficient of window glazing

Simulation Targets ($y$)

Target	Unit	Higher is Better?	Typical Range	Physics Driver
`actual_sda_percent`	%	Yes	10 – 95 %	Spatial Daylight Autonomy (sDA 300/50%)
`actual_cooling_load`	kWh/m²/yr	No	20 – 145 kWh/m²	Annual cooling energy intensity
`actual_peak_stress`	MPa	No	10 – 95 MPa	Peak structural bending & shear stress
`actual_embodied_carbon`	kgCO₂e/m²	No	180 – 580 kg	Life-cycle modules A1–A3 (cradle-to-gate)

Model Predictions & Residuals

Each benchmark sample includes ML.NET FastTree gradient-boosted surrogate predictions ($\hat{y}$) and residual error deltas ($e = y - \hat{y}$):

Prediction Field	Residual Field	Unit	Associated Target
`pred_sda_percent`	`residual_sda_percent`	%	Spatial Daylight Autonomy
`pred_cooling_load`	`residual_cooling_load`	kWh/m²/yr	Annual Cooling Load
`pred_peak_stress`	`residual_peak_stress`	MPa	Peak Structural Stress
`pred_embodied_carbon`	`residual_embodied_carbon`	kgCO₂e/m²	Embodied Carbon

Usage with Hugging Face `datasets`

from datasets import load_dataset

# Load directly from Hugging Face Hub
dataset = load_dataset("vykrum/arch-regression-dataset")

# Inspect sample design
train_df = dataset["train"].to_pandas()
print(train_df[["room_depth", "wwr", "actual_sda_percent", "actual_cooling_load"]].head())

Citation & Attribution

If you use this dataset or the accompanying Hywe F# Bolero WebAssembly platform in your computational design research, please cite:

@misc{vykrum_hywe_regression_2026,
  author = {Vykrum},
  title = {Hywe: Open Computational Design & Architectural Surrogate Regression Environment},
  year = {2026},
  publisher = {Hugging Face / GitHub},
  howpublished = {\url{https://github.com/vykrum/Hywe}}
}

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