DataAttributionEval/Counterfact

Overview This dataset is designed to evaluate data attribution methods for factual tracing. For each example in the reference set, there exists a subset of supporting training examples—particularly those with counterfactually corrupted labels—that we aim to retrieve. Importantly, all models are fine-tuned on the same training set, but each model has its own reference set, which captures the specific instances that expose counterfactual behavior during evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/DataAttributionEval/Counterfact.