Hugging Face provides a large repository of text datasets for NLP model training, including but not limited to, Wikipedia, BookCorpus, and Common Crawl.
The Linguistic Data Consortium is an international organization that creates and distributes large databases of linguistic resources, including text, speech, and multimodal data for NLP research.
The Stanford Natural Language Processing Group provides access to various large-scale text datasets, including the Stanford Question Answering Dataset (SQuAD) and the Stanford Sentiment Treebank.
Kaggle offers a wide range of text datasets for NLP model training, including but not limited to, news articles, books, and user-generated content from social media platforms.
The National Institutes of Standards and Technology provides access to large text datasets for NLP model training, including the NIST Text Retrieval Conference (TREC) dataset.
The Common Crawl dataset is a large, non-profit, open-source repository of web pages that can be used for NLP model training, with over 25 terabytes of data available.
Google Dataset Search is a search engine for datasets, including large text databases for NLP model training, with a wide range of sources from academic and government institutions.
This article provides an overview of popular NLP datasets for model training, including but not limited to, IMDB, 20 Newsgroups, and the WikiText dataset.