A fully synthetic, multi-domain (e-commerce and streaming) recommendation interaction
dataset generated from a documented, exactly reproducible structural model. Every click
carries literal counterfactual confounder attribution — derived by reusing the same
random draw that generated the observed outcome to test which confounders were causally
necessary — rather than a post-hoc magnitude heuristic.
Paper: CausalRec-Bench: A Synthetic Benchmark with Counterfactual… See the full description on the dataset page:
https://huggingface.co/datasets/alihassan1437/rechbench.
