jaypee01/PubMedCausal

PubMedCausal PubMedCausal is a span-level annotated corpus for causal relation extraction in biomedical text. The dataset contains 30,000 paragraph-level samples derived from PubMed abstracts, including 3,945 samples containing at least one causal relation and 6,491 adjudicated cause–effect pairs. Unlike datasets that represent causality only through sentence-level labels or explicit causal keywords, PubMedCausal provides the textual spans corresponding to the cause and effect… See the full description on the dataset page: https://huggingface.co/datasets/jaypee01/PubMedCausal.

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