| # Dataset information: the entry point for dataset configuration, including file locations for each modality. | |
| dataset_id: StoreSales | |
| dataset_name: Store_Sales | |
| domain: retail_supply_chain | |
| sample_defination: | |
| sample_type: store-family inventory demand node | |
| sample_id_graph: episode_id # Corresponding graph node identifier column. | |
| sample_id_time_series: episode_id # Corresponding time series identifier column. | |
| description: each sample corresponds to one (store_nbr, family) node; episode_id is int 0..N-1 aligned across modalities | |
| modalities: | |
| # Available feature modalities. | |
| meta_features: # Static metadata, relative to input_multimodal/ under the protocol root. | |
| required: true # meta_features is required. | |
| file_name: meta_features.csv # Combining this with dataset.py's _meta_candidates yields input_multimodal/meta_features.csv. | |
| node_level_task_graphs: | |
| available: true # Whether a graph for node-level tasks is available. | |
| graph_ids: | |
| - store_family_relation_graph | |
| time_series: | |
| available: true # Whether time series data is available. | |
| time_series_ids: | |
| - sales | |
| - onpromotion | |
| - dcoilwtico | |
| - is_holiday | |
| tasks: # Task construction. | |
| # Supported task types. | |
| - store_type_classification | |
| - sales_flow_forecasting | |
| # Data source information. | |
| license: | |
| data_license: Kaggle competition terms (source-dependent) | |
| redistribution_allowed: true | |
| source: | |
| name: Corporacion Favorita Grocery Sales Forecasting | |
| url: https://www.kaggle.com/competitions/favorita-grocery-sales-forecasting | |