Explore a wide range of large text datasets for machine learning, including but not limited to, the Wikipedia dataset, BookCorpus, and more.
The University of California, Irvine's Machine Learning Repository provides access to a variety of datasets, including large text datasets for research purposes.
Kaggle offers a variety of text datasets for natural language processing tasks, including sentiment analysis, text classification, and language modeling.
Stanford University's Natural Language Processing Group provides resources and datasets for large-scale text analysis, including tools and methodologies.
The United States Government's data portal provides access to a wide range of text datasets, including those related to healthcare, finance, and education.
This GitHub repository provides a large text dataset for text classification tasks, including a dataset of labeled text samples.
This article discusses the importance of large text datasets in natural language processing and provides an overview of popular datasets and tools.
The Internet Archive provides a collection of large text datasets, including books, articles, and other written materials, for research and educational purposes.