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lucianfialho/synthetic-attribution-benchmark

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Permissive or share-alike

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lucianfialho/synthetic-attribution-benchmarklucianfialho/synthe…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
lucianfialho/synthetic-attribution-benchmarklucianfialho/sy…cc-by-4.0: declared licencecc-by-4.0declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
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A **synthetic** marketing dataset of multi-touch user journeys across interpretable
channels, with a **known data-generating process (DGP)** — so the **true per-channel
credit (exact Shapley value)** for every converting journey is included.

Real attribution datasets (e.g. Criteo) are hashed and have **no ground truth**, so you
cannot tell whether last-click / linear / time-decay / Markov / Shapley attribution is
*correct*. Here you can: compare any attribution heuristic against `gt_shapley_*`.

> Fully reproducible from the seed. DGP parameters in `ground_truth.json`.

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dataset_licence({ "id": "lucianfialho/synthetic-attribution-benchmark" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0