Trustworthy Machine Learning Evaluation Framework for Robust and Interpretable Intelligent Systems

This dataset is a curated supplementary dataset for the article “Trustworthy Machine Learning Evaluation Framework for Robust and Interpretable Intelligent Systems” published in International Transactions on Artificial Intelligence (ITALIC), Vol. 4, No. 2, May 2026, pp. 148–160. The dataset structures the main evidence, framework components, methodological elements, governance criteria, benchmark dataset metadata, SDG alignment matrix, and figure/table summaries used to support the Trustworthy Machine Learning Evaluation Framework (TMLEF). The workbook includes article metadata, research questions, key AI evaluation and governance concepts, literature synthesis, data collection methods, benchmark dataset metadata, TMLEF architecture stages, governance compliance criteria, resilience enhancement cycle phases, comparative security impact indicators, and SDG alignment mapping. It is intended to support research transparency, documentation, secondary analysis, and reproducibility of the framework design. The file does not contain individual-level or sensitive records from the Adult Income, MIMIC-III, or COMPAS datasets. Instead, it provides a structured metadata and codebook-style dataset derived from the manuscript, including sample-size references and evaluation purposes reported in the article. Users seeking raw benchmark data should consult the original dataset providers and comply with their respective access, ethics, and licensing requirements.