This repository implements a text classification approach that leverages compression algorithms to measure the similarity between text documents for classification. The method works by compressing concatenated text pairs and comparing compressed sizes as a distance metric, eliminating the need for trained ML parameters. It supports multiple datasets (AG_NEWS, DBpedia, YahooAnswers, etc.) and compressor options (gzip, lzma, bz2).