Datasets:

Penguin-N
/

wofost-weather-regime-pool

year int64 1.98k 2.02k	latitude float64 29.6 55	longitude float64 -9.93 77.8
1,997	32.6	-6.26
2,012	37.17	52.61
2,014	37.81	28.23
1,986	39.81	19.93
2,016	39.83	18.8
2,002	39.03	13.71
1,997	36.06	5.9
1,998	38.47	27.56
1,992	39.68	15.96
2,010	38.89	14.09
2,019	39.65	49.57
1,989	39.28	1.18
1,987	36.62	35.88
2,004	38.4	48.52
1,991	39.33	21.66
1,987	37.6	35.96
1,991	39.55	6.39
1,989	39.24	-7.92
1,999	38.05	4.82
2,005	39.34	16.78
1,989	39.85	11.82
2,014	39.79	14.9
1,984	38.36	23.67
2,001	39.14	21.1
1,988	38.53	27.09
2,007	39.49	13.29
1,998	36.97	6.34
2,007	39.73	20.55
1,996	32.97	-4.53
1,996	37.11	22.78
2,012	38.97	8.17
1,996	35.89	6.47
2,007	38.42	8.94
1,984	36.93	-0.07
1,990	36.76	6.25
2,005	37.19	13.2
1,996	33.85	16.27
2,019	38.88	25.3
1,988	39.52	50.67
1,988	35.58	-8.19
2,015	39.35	9.58
1,989	38.65	2.03
1,984	37.42	24.86
1,988	39.52	-4.61
2,017	39	28.53
2,002	39.77	8.22
1,996	34.7	16.14
1,996	38.58	51.49
2,004	39.6	47.8
2,001	39	20.49
1,987	39.13	51.73
1,991	39.65	24.67
1,989	39.7	4.44
1,997	38.06	50.82
1,997	37.14	1.82
1,999	39.57	24.94
1,998	39.46	-7.19
2,007	37.89	16.43
1,984	35.87	-7.51
1,985	38.23	19.34
2,009	39.87	12.61
2,007	39.1	4.49
2,009	39.27	8.14
2,002	37.68	-9.39
1,984	39.8	50.94
1,997	39.85	-8.22
2,007	39.71	24.87
2,016	37.25	7.7
2,000	36.75	7.05
2,003	38.64	50.7
2,018	36.52	0.02
2,015	39.63	27.15
2,017	37.37	25
1,997	33.57	-5.91
1,985	39.12	17.37
2,003	39.42	50.36
2,005	38.17	9.92
1,988	38.48	-5.74
1,999	38.19	29.46
1,996	38.9	2.75
2,004	36.91	0.78
1,994	35.39	15.91
2,017	39.42	25.56
1,998	38.32	38.95
1,988	39.04	50.19
1,991	38.06	19.03
2,012	36.79	50.31
2,007	35.03	11.61
2,013	39.02	20.47
1,988	39.74	4.32
2,007	39.58	-8.2
1,992	39.31	0.2
2,012	39.96	8.16
1,988	38.52	0.91
1,996	36.83	7.98
1,984	38.43	7.54
1,992	38.19	69.04
2,019	39.65	24.74
1,994	38.03	16.25
2,008	37.12	5.96

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WOFOST Weather-Regime Pool

This dataset is a WOFOST-Gym weather pool for the Weather-Regime OOD benchmark.

Splits:

train: non-extreme weather, 1600 scenarios per crop
val: combined validation pool, 640 scenarios per crop
val_id: held-out non-extreme weather, 128 scenarios per crop
val_drought, val_wet, val_hot, val_cold: 128 scenarios per crop/regime

Crops:

chickpea
potato

There is no test split in this pool. The bundled weather cache is stored as meteo_cache.tar.gz and is extracted automatically by AgriManager's weather_pool.ensure_pool() runtime helper.

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