I need to examine the temporal dimension in this dataset and analyze the trend over time. From the dataset card, I can see there is a temporal axis: `raw.ai_supercomputers.First Operational Date` spanning from 2010-11-15 to 2025-07-22. This represents when AI supercomputers became operational. Let me query the data to see the trend of AI supercomputers becoming operational over time. ```json { "action": "tool_call", "reasoning": "The dataset has a clear temporal dimension (First Operational Date from 2010 to 2025). I'll aggregate the count of AI supercomputers by year to identify the overall trend - whether deployments are growing, shrinking, flat, or showing seasonal patterns.", "tool": "query_sql", "args": { "sql": "SELECT EXTRACT(YEAR FROM \"First Operational Date\") AS year, COUNT(*) AS supercomputer_count FROM raw.ai_supercomputers WHERE \"First Operational Date\" IS NOT NULL GROUP BY year ORDER BY year", "purpose": "Count AI supercomputers by year of first operation to identify the temporal trend", "source": "raw" } } ```