I'll query a sample of rows from the dataset to show you what the data looks like. ```json { "action": "tool_call", "reasoning": "The user wants to see representative sample rows. I'll select key identifying and descriptive columns from the ai_supercomputers table to give a good overview of what the data contains. I'll include the system name, owner, country, chip details, operational date, and key performance metrics.", "tool": "query_sql", "args": { "sql": "SELECT Name, Owner, Country, \"Chip type (primary)\", \"Chip quantity (primary)\", \"First Operational Date\", \"H100 equivalents\", \"Power Capacity (MW)\", Sector FROM raw.ai_supercomputers ORDER BY \"First Operational Date\" DESC LIMIT 15", "purpose": "Get a representative sample of rows showing key attributes of AI supercomputers in the dataset" } } ```