{
  "slug": "criteo-uplift-2018",
  "title": "Criteo Uplift Prediction Dataset",
  "canonical_source_url": "https://ailab.criteo.com/criteo-uplift-prediction-dataset/",
  "dataset_type": "marketing treatment-effect benchmark",
  "temporal_structure": "logged ad-exposure/customer records; not a rich sequential state trajectory",
  "actions_or_interventions": "binary treatment/control exposure plus visit/conversion outcomes",
  "suitability_note": "useful for one-step treatment-response or uplift modeling; weak for world models because next-state dynamics are thin",
  "created": "2026-05-14",
  "updated": "2026-05-14"
}