114 datasets found

The Penn Treebank dataset contains one million words of 1989 Wall Street Journal material annotated in Treebank II style, with 42k sentences of varying lengths.

The Amazon review dataset is used for multi-source domain adaptation. It contains review texts and ratings of bought products. Products are grouped into categories. Following...

The BioText dataset contains more than 3,500 text samples classified into one of eight classes, which specify the type of semantic relationship between disease and treatment...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a sentiment analysis task on two public benchmark datasets: Rotten Tomatoes...

Two text classification data sets for evaluating the quality of interpretability methods.

The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

The dataset used in this paper for deceptive opinions detection

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 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.

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