Semi-synthetic dataset with multimodal confounding.
The dataset is generated according to the description in DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.
Dataset Details
Dataset Description & Usage
The dataset is a semi-synthetic dataset as a benchmark for treatment effect estimation with multimodal confounding. The outcome
variable Y is generated according to a partially linear model
Y=θ0D1+g1(X)+ε
Y = \theta_0 D_1 + g_1(X) +… See the full description on the dataset page: https://huggingface.co/datasets/DoubleML/multimodal_confounding.
