```json { "action": "tool_call", "reasoning": "The question asks about duplicate or near-duplicate rows across the dataset. I need to check for exact duplicates first. The dataset has 451 tables with 1.8M+ rows total. I'll start by checking the main scores table (raw.2010_2026_scores with 6,185 rows) for exact duplicates, as this appears to be the primary aggregated table. I'll use GROUP BY on all columns and look for rows that appear more than once.", "tool": "query_sql", "args": { "sql": "SELECT GameID, Season, GameStatus, AwayTeam, HomeTeam, AwayScore, HomeScore, GameSlot, COUNT(*) as duplicate_count FROM raw.2010_2026_scores GROUP BY GameID, Season, GameStatus, AwayTeam, HomeTeam, AwayScore, HomeScore, GameSlot HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC", "purpose": "Check for exact duplicate rows in the main scores table by grouping on all key columns", "source": "raw" } } ```