geshijoker/chaosmining

Dataset Card for Dataset Name ChaosMining is a synthetic dataset that evaluates post-hoc local attribution methods in low signal-to-noise ratio (SNR) environments. The post-hoc local attribution methods are explainable AI methods such as Saliency (SA), DeepLift (DL), Integrated Gradient (IG), and Feature Ablation (FA). This dataset is used to evaluate the feature selection ability of these methods when a large amount of noise exists. Dataset Descriptions There… See the full description on the dataset page: https://huggingface.co/datasets/geshijoker/chaosmining.