AnonymousData4NeurIPS/MPCFire

FireMPC是一个泛加拿大野火风险基准数据集，覆盖了加拿大所有15个陆地生态区的大约十亿公顷土地，时间跨度为2000年至2025年，空间分辨率为1公里每日。数据集整合了55个驱动因素，分为燃料、地形、人为和气象四个家族。该版本提供了四个预构建的样本缓存，这些缓存共享相同的基础数据立方体，但在训练和测试样本构建策略上有所不同，支持对FWI引导的硬负样本挖掘（FWI-HNM）与随机负样本采样的对照研究。

FireMPC is a pan-Canadian wildfire risk benchmark covering approximately one billion hectares across all fifteen Canadian terrestrial ecozones at 1 km daily resolution from 2000 to 2025, integrating 55 drivers across fuel, terrain, anthropogenic, and meteorological families. This release provides four pre-built sample caches that share the same underlying data cube but differ in their training and test sample construction strategies, enabling controlled study of FWI-guided Hard Negative Mining (FWI-HNM) versus random negative sampling.