The Pile is a large-scale corpus of text, designed to train and evaluate language models. It consists of a diverse range of texts from the internet, books, and user-generated content.
Hugging Face provides a range of large corpora for language model training, including the popular WikiText and BookCorpus datasets. These datasets can be used to fine-tune language models for specific tasks.
This article discusses the importance of large corpora in language model training, and provides an overview of popular datasets and techniques used in the field.
Common Crawl is a non-profit organization that provides a large corpus of web pages for language model training. The corpus is updated regularly and is available for free.
Google has released a large-scale dataset for language model training, which consists of a massive corpus of text from the internet. The dataset can be used to train and evaluate language models.
This research paper discusses the importance of large corpora in language model training, and provides an overview of the current state of the field. It also highlights the challenges and limitations of working with large datasets.
This video tutorial provides an introduction to language model training with large corpora. It covers the basics of language models, and provides a step-by-step guide to training a language model using a large corpus.
This survey paper provides an overview of large corpora for language model training, and discusses the current state of the field. It also highlights the challenges and limitations of working with large datasets.