遇见数据集

Penguin-N/wofost-weather-regime-pool

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Hugging Face2026-04-28 更新2026-05-03 收录
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该数据集是一个WOFOST-Gym天气池,用于Weather-Regime OOD基准测试。包含以下分割:train(非极端天气,每种作物1600个场景)、val(组合验证池,每种作物640个场景)、val_id(保留的非极端天气,每种作物128个场景)以及val_drought、val_wet、val_hot、val_cold(每种作物/天气状况128个场景)。作物类型包括chickpea(鹰嘴豆)和potato(马铃薯)。此池中没有test分割。捆绑的天气缓存以meteo_cache.tar.gz存储,并由AgriManager的weather_pool.ensure_pool()运行时助手自动提取。

This dataset is a WOFOST-Gym weather pool intended for the Weather-Regime OOD benchmark test. It comprises the following data 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), along with val_drought, val_wet, val_hot, val_cold (128 scenarios per crop/weather condition). The supported crop types are chickpea and potato. No test split is included in this pool. The bundled weather cache is stored as meteo_cache.tar.gz, and will be automatically extracted by the AgriManager's weather_pool.ensure_pool() runtime assistant.

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Penguin-N
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