Explore our collection of big datasets for language model training, including Wikipedia, BookCorpus, and more.
Research paper introducing The Pile, a massive dataset for language model training, comprising 885 GB of text from various sources.
Stanford University's Natural Language Processing Group discusses the importance of large datasets for language model training and provides resources for accessing them.
Kaggle's collection of public datasets for language model training, including text from books, articles, and websites.
MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) research on using large datasets for language model training, with a focus on efficiency and scalability.
Google's official dataset for language model training, comprising a massive corpus of text from the web and other sources.
The United Nations' report on the importance of large datasets for language model training in low-resource languages, with recommendations for dataset creation and sharing.
Video tutorial on how to use big datasets for language model training, covering data preparation, model selection, and training techniques.