I need to identify the main categorical columns and find the most common values for each. From the column inspection, I can see several key categorical dimensions. Let me query the most common values for the main categorical columns. ```json { "action": "tool_call", "reasoning": "I'll query the most common values for the main categorical columns: task, model, Domain, Organization, and Display name. I'll get the top 10 values for each with their counts and percentages.", "tool": "query_sql", "args": { "sql": "WITH task_counts AS (SELECT 'task' as column_name, task as value, COUNT(*) as count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM raw.benchmarks GROUP BY task ORDER BY count DESC LIMIT 10), model_counts AS (SELECT 'model' as column_name, model as value, COUNT(*) as count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM raw.benchmarks GROUP BY model ORDER BY count DESC LIMIT 10), domain_counts AS (SELECT 'Domain' as column_name, Domain as value, COUNT(*) as count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM raw.benchmarks GROUP BY Domain ORDER BY count DESC LIMIT 10), org_counts AS (SELECT 'Organization' as column_name, Organization as value, COUNT(*) as count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM raw.benchmarks GROUP BY Organization ORDER BY count DESC LIMIT 10), display_counts AS (SELECT 'Display name' as column_name, \"Display name\" as value, COUNT(*) as count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as pct FROM raw.benchmarks GROUP BY \"Display name\" ORDER BY count DESC LIMIT 10) SELECT * FROM task_counts UNION ALL SELECT * FROM model_counts UNION ALL SELECT * FROM domain_counts UNION ALL SELECT * FROM org_counts UNION ALL SELECT * FROM display_counts ORDER BY column_name, count DESC", "purpose": "Get the top 10 most common values for each main categorical column (task, model, Domain, Organization, Display name) with counts and percentages" } } ```