9 datasets found

The dataset used in this study for image and text classification tasks.

Two datasets used for multi-task learning, CIFAR-100 and AGNews.

The gisette dataset is a collection of 20,000 text documents, each containing a single sentence.

Text, tabular and image classification datasets

data extracted from real images of forged banknotes, with the help of an industrial camera.

The MNIST handwritten digit database and the 20Newsgroups data set are used to evaluate the proposed autoencoder tree model.

The dataset used for the experiments on Twitter and Pinterest.

The MNIST-SVHN-Text dataset is a multi-modal dataset consisting of images, text, and labels.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion model.