fresh-retail
FreshRetailNet-50K
FreshRetailNet-50K
Dataset Overview
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… See the full description on the dataset page: https://huggingface.co/datasets/Dingdong-Inc/FreshRetailNet-50K.FreshRetailNet-LT
FreshRetailNet-LT
Dataset Overview
FreshRetailNet-LT is the first large-scale benchmark for censored demand estimation in the fresh retail domain, incorporating approximately 20% organically occurring stockout data. It comprises more than 20K store-product time series of detailed hourly sales data from 1057 stores in 18 major cities, encompassing 576 perishable SKUs with meticulous stockout event annotations. The hourly stock status records unique to this dataset… See the full description on the dataset page: https://huggingface.co/datasets/Dingdong-Inc/FreshRetailNet-LT.freshretailnet_50k
FreshRetailNet-50K
Dataset Overview
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… See the full description on the dataset page: https://huggingface.co/datasets/THULab/freshretailnet_50k.freshretailnet_lt
FreshRetailNet-LT (TsFile)
Apache TsFile version of
Dingdong-Inc/FreshRetailNet-LT.
Overview
FreshRetailNet-LT is the long-tail release of the FreshRetailNet benchmark
for censored demand estimation in fresh retail: more than 20K store-product
90-day series of detailed hourly sales from fresh-retail stores, with
organically occurring stockout events annotated. It keeps the same record
layout as FreshRetailNet-50K (7 entity ids, dt, hours_sale,
hours_stock_status… See the full description on the dataset page: https://huggingface.co/datasets/THULab/freshretailnet_lt.FreshRetailNet-50K
FreshRetailNet-50K
Dataset Overview
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… See the full description on the dataset page: https://huggingface.co/datasets/Abhishek-26/FreshRetailNet-50K.FreshRetailNet-50K
FreshRetailNet-50K
Dataset Overview
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… See the full description on the dataset page: https://huggingface.co/datasets/gujixian/FreshRetailNet-50K.