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Re‑DocRED‑CF is a counterfactual dataset for document‑level relation extraction, generated by entity replacement. It contains five counterfactual variants, each with training, development, and test splits, plus a mixed training set. Each example includes document title, relation labels, entity vertex sets, tokenized sentences, and the original document ID indicating its index in the seed dataset.
