An index of datasets that can be used for learning causality.
Please cite our survey if this data index helps your research.
@article{guo2018survey,
title={A Survey of Learning Causality with Data: Problems and Methods},
author={Guo, Ruocheng and Cheng, Lu and Li, Jundong and Hahn, P. Richard and Liu, Huan},
journal={arXiv preprint arXiv:1809.09337},
year={2018}
}
Updates coming soon
Standard datasets for learning causal effects comes with each instance in the format of (x,d,y).
How is IHDP1 (setting A) simulated
Job Training (Lalonde 1986)
Datasets with non-i.i.d. samples (with interference, spillover effect or auxiliary network information)
Standard datasets for learning causal effects, each instance has the format of (i,x,d,y).
Population Threshold RDD Datasets
Database with cause-effect pairs (Tbingen Cause-Effect Pairs)
Lung Cancer Simple Set (LUCAS)