211 datasets found

The dataset used in this paper for unsupervised sentence representation learning, consisting of paragraphs from unlabeled text.

The Reuters RCV1-v2 contains 804,414 newswire articles. There are 103 topics which form a tree hierarchy. Thus documents typically have multiple labels. The data was randomly...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested the proposed method on three real data sets for the most relevant security...

The dataset used in the paper is the Penn Treebank dataset, which is a large-scale text classification dataset.

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

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

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.

A dataset for training language models to perform tasks such as question answering and text classification.

Pre-trained language models (PrLM) have to carefully manage input units when training on a very large text with a vocabulary consisting of millions of words. Previous works have...

The E2E dataset consists of 50K restaurant reviews together with the labels in terms of food type, price, and customer ratings.

The Elsevier OA CC-BY corpus dataset consists of 40,000 open-access articles from across Elsevier's journals, representing a diverse research discipline.