Description: Human-readable format refers to a type of data representation that is easily understandable for people, as opposed to formats that are primarily designed to be processed by machines. This type of format aims to facilitate interaction and interpretation of information, allowing users to read, edit, and comprehend data without the need for specialized tools. The main characteristics of human-readable formats include a clear structure, the use of plain text, and the absence of complex encodings that hinder understanding. Common examples of these formats are JSON, XML, and CSV, which are designed in such a way that a human can easily understand their content. The relevance of these formats lies in their ability to enhance collaboration among teams, facilitate documentation, and allow for quick data review, which is especially useful in various development environments and in the implementation of architectures where data accessibility and transparency are crucial for the model’s success.
