Common Crawl Corpus

The Common Crawl corpus is a massive, publicly available dataset of web crawl data used extensively for training large language models (LLMs). Current research focuses on analyzing the corpus's content, particularly identifying and extracting valuable subsets like geospatial data or language-specific information for improved model training and downstream tasks such as information extraction and word sense disambiguation. This work is crucial for advancing natural language processing, enabling the development of more accurate and robust LLMs while also highlighting potential biases and ethical considerations related to the data's composition and representation of various groups.