I need to investigate the temporal dimensions in this dataset to identify any notable spikes, dips, or breaks. From the dataset card, I can see there are temporal axes mentioned: - `raw.boxing_klitschko.f_boxer_age` (20..orthodox) - `raw.boxing_klitschko.s_boxer_age` (..orthodox) However, these appear to be age fields rather than dates. Let me first check what temporal columns actually exist across the tables. ```json { "action": "tool_call", "reasoning": "I need to identify what temporal/date columns exist in this dataset. The card mentions f_boxer_age and s_boxer_age, but I should check all tables for actual date/time columns or temporal sequences.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role FROM meta.columns WHERE semantic_role LIKE '%temporal%' OR semantic_role LIKE '%date%' OR semantic_role LIKE '%time%' OR column_name LIKE '%date%' OR column_name LIKE '%time%' OR column_name LIKE '%year%' ORDER BY table_name, column_name", "purpose": "Find all temporal/date columns in the dataset to understand what time dimensions are available" } } ```