Datasets:
Causal Demand Benchmark First Pipeline Run
This release folder contains the public-facing files for one benchmark cell: complex market, log_log DGP, endogeneity on, seed 001.
Files
public/products_public.csv: public SKU metadata, family-level text, structured attributes, and image specs.public/transactions_train_public.csv: positive-sales (units>0) SKU-store-week transaction rows with anonymized store IDs and public supply-cost proxy. Stores carry a permanent subset of the 40-SKU catalog; carriage is inferable from row presence (>=1 positive train-window row) but is NOT released as an explicit matrix.public/counterfactual_context_public.csv: price-policy intervention context.
Hidden DGP parameters, store covariates, calibration quantities, and counterfactual truth are intentionally outside this public release folder.
Log-log cells are conditional category-demand tasks; no outside option is simulated.
Complex cells include rendered package-style PNG images under public/images/.
Selection
- SKU count: 40
- SKU cumulative IRI revenue share: 0.8017
- Synthetic stores: 731
- Synthetic weeks: 156
CARD packaging (v0.1)
- Two legacy counterfactual context files (DGP-construction fixtures the scorer ignores) are not included in this release.
stores_public.marketandproducts_public.brand_codeare pseudonymized (consistent across cells and future seeds).stores_public.household_countis withheld (store demographics stay with the hidden store covariates); store scale is inferable only from the sales rows.release/scoring_params.jsoncarries the scoring config (family, eval-window length, version).