I need to show a representative sample of rows from this dataset. Looking at the dataset card, I can see there are 51 tables with over 2 million rows total. The largest tables appear to be: - raw.columns_catalog (1,533,257 rows) - raw.job_logs (303,822 rows) - raw.llm_calls (49,360 rows) To provide a representative sample, I should query one of the main tables that gives insight into what this dataset is about. Based on the table names, this appears to be a dataset tracking analysis runs, LLM usage, and various catalog/metadata information. Let me start by sampling from a core table that would be representative of the dataset's purpose. ```json { "action": "tool_call", "reasoning": "To show a representative sample, I'll query the raw.analysis_runs table which appears to be a central table based on the gold table names (many reference 'analysis_runs'). This should give insight into what the dataset tracks. I'll select a diverse sample with LIMIT 10 to show variety.", "tool": "query_sql", "args": { "sql": "SELECT * FROM raw.analysis_runs LIMIT 10", "purpose": "Get a representative sample of rows from the analysis_runs table", "source": "raw" } } ```