The Hugging Face Datasets library provides a large scale language modeling dataset for AI, with over 45,000 hours of audio and 1.5 billion parameters.
This research paper introduces The Pile, a large-scale dataset for language modeling, comprising 885 GB of text from 22 sources, including books, articles, and websites.
The National Science Foundation (NSF) provides funding for large scale language dataset research, aiming to improve AI capabilities and benefit society.
Common Crawl is a non-profit organization that provides a large-scale web corpus for language modeling, with over 25 terabytes of text data.
The Stanford Natural Language Processing Group provides a large scale language dataset for research, including datasets for sentiment analysis, question answering, and text classification.
Google's large scale language dataset for AI is used to improve the company's language understanding capabilities, including speech recognition, translation, and text summarization.
This article discusses large scale language modeling with transformers, including the use of datasets like Wikipedia and BookCorpus to train AI models.
This video provides an introduction to large scale language datasets for AI, including the importance of data quality, diversity, and size for training effective AI models.