syrgkanislab/CausalReasoningBenchmark

Automated Causal Reasoning Benchmark Overview The Automated Causal Reasoning Benchmark is a collection of real-world causal inference tasks drawn from 73 peer-reviewed research papers and three textbook-style collections (see CausalBenchmark.pdf). The benchmark contains 174 queries over 139 datasets. Each task is designed to evaluate both (i) identification, i.e., selecting an appropriate causal estimand and identification strategy given the study context, and… See the full description on the dataset page: https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark.

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