This dataset contains the scripts and supporting data used to implement and experiment with Wiki3DRank, a method for ranking and analysing entities in knowledge graphs using a multidimensional approach. The package includes Python scripts and processed data used in the experiments presented at the Wiki Workshop 2026. Wiki3DRank models entity relevance through a three-dimensional ranking framework that combines different quantitative indicators derived from collaborative knowledge bases. The dataset enables the reproduction of the experimental workflow, including the generation of rankings and the exploration of entity distributions in a multidimensional space. The resource is intended for research on knowledge graphs, Linked Open Data, entity ranking and quantitative analysis of large collaborative knowledge repositories such as Wikipedia and Wikidata.