"Common Crawl provides an open, multi-petabyte web corpus, with the March 2026 crawl containing ~344.6 TiB of text across 1.97B pages, serving as a raw LLM training base."
"C4 is a cleaned 750 GB English text dataset created by Google from a snapshot of Common Crawl, ideal for building models that need web-scale knowledge."
"RedPajama-Data v2 offers ~100 billion tokens of open data, closely matching Meta's LLaMA training set, allowing organizations to replicate LLaMA-style pretraining."
"RefinedWeb is a massive deduplicated corpus derived from Common Crawl, providing a valuable resource for training large language models."
Large language models rely on high-quality training data, and practitioners can access ten leading public datasets for training and fine-tuning. These datasets include Common Crawl, a multi-petabyte web corpus, and C4, a cleaned 750 GB English text dataset. Other notable datasets are RedPajama-Data, which provides ~100 billion tokens, and RefinedWeb, a deduplicated corpus. Each dataset includes details on size, license, and use cases, making them valuable resources for developing state-of-the-art models.
#large-language-models #training-datasets #machine-learning #natural-language-processing #data-curation
Read at Medium
Unable to calculate read time
Collection
[
|
...
]