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E-WNC: Explainable Subjective Bias Style Transfer
We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model. -
E-GYAFC: Explainable Formality Style Transfer
We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model. -
ICLEF: In-Context Learning with Expert Feedback for Explainable Style
We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model. -
Hatexplain: A Benchmark Dataset for Explainable Hate Speech Detection
The HateXplain dataset is a benchmark dataset for explainable hate speech detection. -
Manifold Hypothesis for Gradient-Based Explanations
The dataset used in the paper is a collection of images from various sources, including MNIST, EMNIST, CIFAR10, X-ray pneumonia, and Diabetic Retinopathy detection.
