ClarusC64/causal-inference-variant-interpretation-genomics-v01 This dataset tests one capability. Can a model distinguish association from causation when interpreting genetic variants.

Core rule

Genomic evidence has tiers. A claim must respect

evidence strength
effect size
penetrance
inheritance logic

Association does not equal causation. Risk does not equal destiny. Uncertain does not equal pathogenic.

Canonical labels

WITHIN_SCOPE… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/causal-inference-variant-interpretation-genomics-v01.