I need to check for duplicate and near-duplicate rows in the benchmarks dataset. Let me start by examining the key identifier columns and then look for duplicates across different combinations of columns. ```json { "action": "tool_call", "reasoning": "First, I'll check if there are any exact duplicates based on the primary identifier 'id_runs', and also check for duplicates across key dimensions like task, model, and task version which would indicate near-duplicates (same benchmark run recorded multiple times).", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(DISTINCT id_runs) as distinct_id_runs, COUNT(*) - COUNT(DISTINCT id_runs) as duplicate_id_runs FROM raw.benchmarks", "purpose": "Check if the primary identifier id_runs has any duplicates" } } ```