103 datasets found

The dataset used in the paper is a language domain dataset, specifically for sentiment classification, named AG News. The dataset is used to evaluate the performance of...

The Jigsaw dataset is a collection of text, where each text is labeled as toxic or non-toxic.

The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on...

Word2Vec is a distributed word embedding generator that uses an artificial neural network to learn dense vector representations of words.

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

The BANKING dataset is an intent classification dataset in the banking domain.

The dataset used in this paper is a collection of news articles from Google News.

The dataset used in this paper is a collection of English Wikipedia abstracts from DBpedia.

The dataset used in this paper is a collection of documents from various domains, including news, articles, and emails.

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.