This dataset is designed to evaluate the effectiveness of toxicity and bias filtering methods. The objective is to detect and filter a small subset of toxic or unsafe examples that have been injected into a larger, predominantly safe training set, using a reference set that exposes unsafe model behavior.
All models are evaluated using the same training and reference sets.
We provide two evaluation settings, denoted by the suffixes Hom (Homogeneous) and Het (Heterogeneous).… See the full description on the dataset page:
https://huggingface.co/datasets/DataAttributionEval/Toxicity-Bias-Filtering.
