I need to investigate whether there are duplicate or near-duplicate rows in this dataset. From the evidence so far, I can see that "Anonymized Chinese System" appears 190 times, and when I look at the detailed rows, many of them have identical or very similar characteristics (same country, empty owner/location, similar dates, similar chip quantities and H100 equivalents). Let me check for exact duplicates across all key columns: {"action": "tool_call", "reasoning": "Check for exact duplicate rows by grouping on all key identifying and descriptive columns to find rows that appear more than once", "tool": "query_sql", "args": {"sql": "SELECT Name, \"First Operational Date\", Country, Owner, Location, \"Chip type (primary)\", \"Chip quantity (primary)\", \"H100 equivalents\", \"Max OP/s (log)\", Status, Certainty, COUNT(*) as duplicate_count FROM raw.ai_supercomputers GROUP BY Name, \"First Operational Date\", Country, Owner, Location, \"Chip type (primary)\", \"Chip quantity (primary)\", \"H100 equivalents\", \"Max OP/s (log)\", Status, Certainty HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC LIMIT 50", "purpose": "Find exact duplicate rows based on key identifying columns"}}