Quality Corpus

High-quality corpora are crucial for training effective natural language processing (NLP) models, particularly large language models (LLMs). Current research focuses on creating and improving these corpora through rigorous data cleaning, deduplication, and methods like ensemble techniques, often incorporating diverse sources such as literature, web data, and multilingual content to enhance model performance and address biases. The availability of such corpora is vital for advancing NLP across various languages and domains, impacting applications ranging from machine translation and text-to-speech to legal document processing and medical information retrieval.