211 datasets found

The dataset used in this paper for few-shot text classification task.

The spam dataset is a dataset used for spam classification.

HuffPost dataset for few-shot text classification, consisting of news headlines published in HuffPost between 2012 and 2018.

Aspect Category Detection (ACD) dataset for few-shot one-class ACD is collected from Yel-pAspect (Bauman et al., 2017; Li et al., 2019), which is a large-scale multi-domain...

Aug-GAM and Aug-Tree are two instantiations of Aug-imodels, a framework for leveraging the knowledge learned by LLMs to build extremely efficient and interpretable models.

The PAN16 dataset focuses on tweet classification and includes age and gender information of the authors.

Dataset for job detection in Twitter

Job detection in Twitter using Skip-gram model and word2vec

The dataset used in this paper is a collection of 20 Newsgroups text classification problems.

Text classification problem with small-size training dataset

The dataset is a collection of 17,500 papers from Semantic Scholar.

The dataset for English Tweets, used as the source domain for Domain Adaptation.

Movie Review (MR) dataset is a binary sentiment classification dataset with movie reviews from IMDB, consisting of 1000 positive and 1000 negative movie reviews. Product Review...

The AP News corpus contains professionally-edited news articles and its vocabulary plateaus much faster than the Amazon corpus.

The Amazon corpus contains user product reviews and has a much higher vocabulary relative to the number of documents, due to its noisy text.

The dataset is used for text classification task.

The dataset is used for text classification task.

The dataset is used for text classification task.

The CNN news articles dataset is a collection of news articles crawled from the CNN website.

The dataset used in the paper is a collection of text samples from the Offensive Language Identification Dataset (OLID).