Supporting Data for "Mitigating Model Collapse in Recursive Training Using a New Distribution-Aware Loss Function"

This dataset contains the research data and supporting materials for the article “Mitigating Model Collapse in Recursive Training Using a New Distribution-Aware Loss Function.” The deposited files include experimental results, training histories, configurations, metric outputs, and the underlying data used to generate the tables and figures in the manuscript. A documentation file is also included, covering the dataset structure, experimental protocol, metric definitions, and a guide to which files correspond to which tables and figures in the paper. These materials are intended to support verification of the reported quantitative results and allow reconstruction of the manuscript's tables and figures. Note that the software source code used to run the experiments is not part of this deposit.