I need to understand this dataset's structure and identify the most important metric and category. Let me start by examining what we have. From the dataset card, I can see: - Two main tables: `raw.fighters` (fighter profiles) and `raw.popular_matches` (match results) - Multiple measures related to fighter performance and match statistics - Several categorical dimensions (stance, country, opponents) Let me first explore the gold tables to see what pre-aggregated insights exist: ```json { "action": "tool_call", "reasoning": "Check what gold tables exist - these represent pre-computed aggregations that likely highlight the most important dimensions and metrics in this dataset", "tool": "get_gold_tables", "args": {} } ```