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e-SNLI: Natural Language Inference with Natural Language Explanations
The e-SNLI dataset is a large-scale dataset for natural language inference, with human-written explanations for each sample. -
Do Models Explain Themselves?
Do models explain themselves? counterfactual simulatability of natural language explanations -
Fashionpedia-Taste
Fashionpedia-Taste is an explainable fashion taste dataset that challenges computer vision systems to predict whether a subject like a fashion image and provide explanations... -
Tweet Sentiment Extraction
The Tweet Sentiment Extraction dataset contains positive, negative, and neutral tweets with human-annotated rationales. -
Movie Reviews
The Movie Reviews dataset contains positive and negative movie reviews with rationales annotated by humans to support classification. -
Challenge 3 - Blue and Yellow Circles
Challenge 3 - Blue and Yellow Circles: Set of all possible Kandinsky Figures consist of equal size blue and yellow circles. -
Challenge 2 - Nine Circles
Challenge 2 - Nine Circles: Set of Kandinsky Figures consist of 9 circles arranged in a regular grid. -
Challenge 1 - Objects and Shapes
Challenge 1 - Objects and Shapes: Ground truth gt(k) is defined as 'in a Kandinsky Figure small objects are arranged on big shapes same as object shapes, in the big shape of... -
Kandinsky Patterns
Kandinsky Patterns are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in... -
Visual Classification as Linear Combination of Words
Explainability is a longstanding challenge in deep learning, especially in high-stakes domains like healthcare. Common explainability methods highlight image regions that drive... -
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
Crop yield forecasting plays a significant role in addressing growing concerns about food security and guiding decision-making for policymakers and farmers. The dataset is used... -
Xfake: Explainable Fake News Detector with Visualizations
Explainable fake news detector with visualizations