BERT Datasets for Text Classification
Discover the largest BERT datasets for text classification, including IMDB, 20 Newsgroups, and more, to improve your machine learning models.
Discover the largest BERT datasets for text classification, including IMDB, 20 Newsgroups, and more, to improve your machine learning models.
This article surveys the current state of text classification with BERT, highlighting the biggest datasets used in research, such as GLUE and SQuAD.
Explore the top BERT datasets for text classification, including Stanford Sentiment Treebank and Multi-Genre Natural Language Inference, to boost your machine learning performance.
The University of California, San Diego, provides a list of popular text classification datasets, including those used with BERT, such as TREC and Yahoo! Answers.
This GitHub repository offers a collection of BERT-based text classification models and datasets, including the popular AG News and DBPedia datasets.
This online course covers the fundamentals of natural language processing with BERT, including text classification using large datasets like BookCorpus and WikiText.
This research paper presents a comprehensive evaluation of pre-trained BERT models on various text classification datasets, including the largest ones like Amazon Reviews and Yelp Reviews.
The United States government provides a repository of publicly available datasets, including those used for text classification with BERT, such as the Federal Register and Congressional Records.