data-quality-env / outputs /agent_memory.json
Hemanth Kunta
final local fixes
94595e2
{"version": 1, "items": [{"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 4, "seed": 42, "score": 0.8165, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current"], "evidence": {"task_id": 4, "score": 0.8165}}, {"task_id": 3, "seed": 42, "score": 1.0, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 1.0}}, {"task_id": 3, "seed": 42, "score": 1.0, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 1.0}}, {"task_id": 3, "seed": 42, "score": 1.0, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 1.0}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 43, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.7, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN b.user_id IS NULL THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current c LEFT JOIN (SELECT DISTINCT user_id FROM transactions_baseline) b ON c.user_id=b.user_id", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.7}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 3, "seed": 42, "score": 0.6641, "query_plan": ["SELECT (SELECT AVG(amount) FROM transactions_baseline) AS baseline_mean, (SELECT AVG(amount) FROM transactions_current) AS current_mean", "SELECT DISTINCT c.category FROM transactions_current c LEFT JOIN (SELECT DISTINCT category FROM transactions_baseline) b ON c.category=b.category WHERE b.category IS NULL ORDER BY c.category", "SELECT AVG(CASE WHEN user_id >= 1000 THEN 1.0 ELSE 0.0 END) AS new_user_row_pct FROM transactions_current", "SELECT category, AVG(amount) AS avg_amount FROM transactions_current GROUP BY category ORDER BY avg_amount DESC"], "evidence": {"task_id": 3, "score": 0.6641}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 43, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT * FROM orders LIMIT 5", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 1.0}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 2, "seed": 42, "score": 0.9834, "query_plan": ["SELECT * FROM orders LIMIT 5", "SELECT SUM(CASE WHEN quantity < 0 THEN 1 ELSE 0 END) AS negative_quantity_rows FROM orders", "SELECT SUM(CASE WHEN try_cast(replace(amount, '$', '') AS DOUBLE) IS NULL THEN 1 ELSE 0 END) AS unparseable_amount_rows FROM orders", "SELECT amount, try_cast(replace(amount, '$', '') AS DOUBLE) AS amount_num FROM orders LIMIT 20", "SELECT status, COUNT(*) AS n FROM orders GROUP BY status ORDER BY n DESC"], "evidence": {"task_id": 2, "score": 0.9834}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 1.0, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 1.0}}, {"task_id": 1, "seed": 42, "score": 0.7, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 0.7}}, {"task_id": 1, "seed": 43, "score": 0.7, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 0.7}}, {"task_id": 1, "seed": 42, "score": 0.7, "query_plan": ["SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC", "SELECT * FROM customers LIMIT 5"], "evidence": {"task_id": 1, "score": 0.7}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}, {"task_id": 1, "seed": 42, "score": 0.6799, "query_plan": ["SELECT * FROM customers LIMIT 5", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email, SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT COALESCE(SUM(c-1),0) AS duplicate_rows FROM (SELECT customer_id, email, name, signup_date, country, COUNT(*) AS c FROM customers GROUP BY 1,2,3,4,5 HAVING COUNT(*) > 1) t", "SELECT SUM(CASE WHEN email IS NULL THEN 1 ELSE 0 END) AS null_email FROM customers", "SELECT SUM(CASE WHEN customer_id IS NULL THEN 1 ELSE 0 END) AS null_customer_id FROM customers", "SELECT country, COUNT(*) AS n FROM customers GROUP BY country ORDER BY n DESC"], "evidence": {"task_id": 1, "score": 0.6799}}]}