World Central Banks (Supplementary Material)

Kaggle3 Publishing our dataset on Kaggle offers distinct advantages over platforms like HuggingFace, par-4 ticularly in terms of usability and community engagement. Kaggle provides integrated tools for data5 visualization, version control, and collaborative discussion, streamlining the research workflow. Unlike Hug-7 gingFace, which is primarily model-focused, Kaggle is optimized for dataset-driven experimenta-8 tion, making it a more practical platform for sharing, validating, and improving data-centric work.9 Hosting the dataset on Kaggle thus ensures greater transparency, accessibility, and impact across10 both academic and applied research communities.11 Website12 Our World Central Banks website offers a structured and accessible overview of our research. It13 features a task-specific model leaderboard with direct links to download and explore the best per-14 forming model.