Natural Language Processing (NLP) Datasets
The Hugging Face Datasets library provides a wide range of NLP datasets for training and fine-tuning models, including large corpora like Wikipedia and BookCorpus.
The Hugging Face Datasets library provides a wide range of NLP datasets for training and fine-tuning models, including large corpora like Wikipedia and BookCorpus.
This article reviews the creation and analysis of large corpora for NLP, highlighting the importance of big data in training accurate models.
Common Crawl is a non-profit organization that provides a large corpus of web pages for NLP research, with over 25 terabytes of data available for download.
This research paper presents a case study on training NLP models with large corpora, demonstrating the benefits of using big data in NLP training.
Google's Dataset Search is a search engine for datasets, providing access to a wide range of NLP datasets, including large corpora for training and testing.
The Stanford NLP Group provides a range of resources for NLP research, including large corpora and pre-trained models, as well as tutorials and guides for NLP training.
This article provides an overview of where to find large corpora for NLP training, including government datasets, academic resources, and commercial providers.
The Corpus of Contemporary American English is a large corpus of American English texts, with over 525 million words, available for NLP research and training.