Corpus

In the context of natural language processing (NLP) and machine learning, a corpus is a large, structured collection of text or audio data used as a fundamental resource for training and evaluating language models. This extensive dataset provides the linguistic evidence necessary for algorithms to learn patterns, grammatical rules, semantic relationships, and contextual meanings within human language. A corpus is typically curated for specific purposes, ranging from general language understanding to domain-specific applications, and often includes metadata or annotations to enhance its utility for research and development.