Discover a wide range of large-scale text datasets for training language models, including but not limited to, the Wikipedia dataset, BookCorpus, and more.
NIST provides access to various large-scale text datasets that can be used for training language models, focusing on linguistic and semantic evaluations.
Research paper introducing The Pile, an 886 GB dataset of diverse text from the internet, designed to train more robust and generalizable language models.
Article discussing the importance of large-scale text datasets for language model training, highlighting best practices and challenges.
Non-profit organization providing a large corpus of web pages for training language models, available for free.
Video tutorial demonstrating how to train large-scale language models using the Hugging Face Transformers library.
Research from MIT introducing the Wikipedia Corpus, a dataset derived from Wikipedia articles, suitable for training language models.
Blog post announcing Google's release of a large-scale text dataset designed to improve language model training, focusing on diversity and inclusivity.