I have evidence showing AI model publication counts by year from 1950-2010, but the result was truncated at 50 rows. The dataset's temporal range extends to 2026, so I need to see the complete time series to identify all notable spikes, dips, and breaks. ```json { "action": "tool_call", "reasoning": "The previous queries were truncated at 50 rows, stopping at 2010. The dataset card shows the temporal range extends to 2026-07-31. I need the complete year-over-year counts to identify all spikes, dips, and breaks across the full timeline, particularly the recent years (2011-2026) which are likely to show the most dramatic changes given AI's recent acceleration.", "tool": "query_sql", "args": { "sql": "SELECT EXTRACT(YEAR FROM \"Publication date\") as year, COUNT(*) as model_count FROM raw.all_ai_models WHERE \"Publication date\" IS NOT NULL GROUP BY year ORDER BY year", "purpose": "Get complete year-over-year model publication counts across the full 1950-2026 range to identify all notable spikes, dips, and breaks in the time series", "source": "raw" } } ```