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Withhold store demographics: drop household_count from stores_public; refresh manifests and datasheets
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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.market and products_public.brand_code are pseudonymized (consistent across cells and future seeds).
  • stores_public.household_count is withheld (store demographics stay with the hidden store covariates); store scale is inferable only from the sales rows.
  • release/scoring_params.json carries the scoring config (family, eval-window length, version).