thebiricik/FreshRetailNet-50K

FreshRetailNet-50K是新鲜零售领域首个大规模的需求估计基准数据集，包含约20%自然发生的缺货数据。它由来自18个主要城市898家商店的50,000个商店-产品90天时间序列的详细每小时销售数据组成，涵盖865个易腐SKU，并带有精细的缺货事件标注。该数据集独特的每小时库存状态记录，结合丰富的上下文协变量（包括促销折扣、降水和其他时间特征），使得其能够支持现有解决方案之外的创新研究。

FreshRetailNet-50K is the first large-scale benchmark for censored demand estimation in the fresh retail domain, incorporating approximately 20% organically occurring stockout data. It comprises 50,000 store-product 90-day time series of detailed hourly sales data from 898 stores in 18 major cities, encompassing 865 perishable SKUs with meticulous stockout event annotations. The hourly stock status records unique to this dataset, combined with rich contextual covariates including promotional discounts, precipitation, and other temporal features, enable innovative research beyond existing solutions.