Ben Lonnqvist contributed to the brain-score/vision repository by addressing a data integrity issue in the benchmarking pipeline. He implemented a Python-based solution that caps benchmark scores at 1.0, specifically targeting the Lonnqvist2024 and Malania2007 benchmarks to prevent inflated results. Leveraging his skills in benchmarking and score normalization, Ben ensured that evaluation metrics remain within valid bounds, thereby supporting fair model comparisons and reliable reporting. His work, delivered through a well-reviewed and merged code change, reinforced the repository’s stability and data consistency. This targeted bug fix improved the quality of downstream dashboards and reports used for model selection.