ACIC 2017 Competition Datasets
Abstract
Complete ACIC 2017 competition datasets, containing 8,000 simulated datasets from 32 Data Generating Processes from the Atlantic Causal Inference Conference 2017 Data Analysis Challenge. Each dataset includes covariates, binary treatment assignment, and outcomes. Ground truth Average Treatment Effects (ATE and ATT) are provided for benchmarking estimator performance. Published in: Dorie et al. (2019), 'Automated versus do-it-yourself methods for causal inference', Statistical Science.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026
- Document type
- Dataset