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Discriminative Attribution Dataset B

dataset
posted on 2025-01-09, 21:43 authored by Diane AdjavonDiane Adjavon, Nils Eckstein, Jan Funke

This is a synthetic dataset built to benchmark the capabilities of explainable AI methods against difficult tasks.
The dataset has three classes, which depend absence of a given shape (circle, square, or triangle) in the image.


Also attached are the PyTorch model weights of a classifier trained on the task, both the raw weights and a JIT-compiled version. The raw weights can be loaded with the Funke Lab torch package.

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