110 datasets found

The dataset is used to evaluate the performance of the xLSTM architecture on various tasks, including language modeling, question answering, and text classification.

The 20-Newsgroups dataset is a collection of text documents.

The REDDIT-BINARY dataset contains 2,000 graphs labeled as question/answer-based or discussion-based community in the content-aggregation website Reddit.

The Yahoo dataset used for training and testing the proposed model, containing leaked passwords.

The dataset used in this paper is a pre-trained BERT model trained on English Wikipedia and Books datasets.

Text classification problem has long been an interesting research field, the aim of text classification is to develop algorithm to find the categories of given documents.

The Amazon Review dataset is a widely used benchmark dataset for cross-domain sentiment analysis.

Text classification based on Multiple Block Convolutional Highways

A dataset for language modeling, where the goal is to predict the next word in a sequence given the previous words.

The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

The dataset used in the paper for missing value imputation using feature-specific generative adversarial networks.

The Disin dataset is a fake news dataset on Kaggle, including 12,600 fake news articles and 12,600 truthful news articles.

The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer.

The TriviaQA dataset is a collection of questions sourced from Quiz League websites, with sentence-level supporting facts annotation.

The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and find that a model having higher AUC does not necessarily...

The Clothing dataset contains metadata, text descriptions, and images of the clothing items, with the review score as the label.

The dataset used for text classification to support Epistemonikos' effort to filter and categorize research articles related to COVID-19.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10 and CIFAR-100 datasets for image classification, and ImageNet-100...

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 AGNews dataset is a collection of news articles, where each article is labeled with a topic (e.g. politics, sports, etc.).