{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 43}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 12}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 20}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 18}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 14}}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 26}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 25}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 24}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 22}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 25}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 45}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 27}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 39}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 15}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 46}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 48}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 46}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 38}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 38}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 25}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 46}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 24}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 22}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 13}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 18}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 32}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 19}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 48}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 37}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 34}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 36}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 41}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 39}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 14}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 23}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 15}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 19}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 16}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Marketing\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Sales\"}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 32}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 29}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Finance\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 21}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Carol White\"}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"Engineering\"}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 28}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 16}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have age above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 42}}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"department\", \"gte\": 15}}"}
{"queries": "[Diagnostic Queries] Which employees have salary above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 49}}"}
{"queries": "[Keyword-Based Queries] Find records where performance_score is mentioned", "labels ": "{\"select\": [\"department\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"age\", \"gte\": 50}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Bob Johnson\"}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Intent-Based Queries] Show employees aged between 20 and 30", "labels ": "{\"range\": {\"field\": \"age\", \"gte\": 20, \"lte\": 30}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"performance_score\", \"gte\": 46}}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Keyword-Based Queries] Find records where age is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"Alice Smith\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
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{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Cognitive (Advanced AI) Queries] Analyze employee sentiment from reviews", "labels ": "{\"vector_search\": true}"}
{"queries": "[Predictive Queries] Predict which employees might leave soon", "labels ": "{\"vector_search\": true}"}
{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 20}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
{"queries": "[Template/Pattern-Based Queries] Retrieve all employee details", "labels ": "{\"all\": true}"}
{"queries": "[Keyword-Based Queries] Find records where salary is mentioned", "labels ": "{\"select\": [\"age\"], \"filter\": {\"field\": \"name\", \"eq\": \"John Doe\"}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
{"queries": "[Descriptive Queries] List all employees", "labels ": "{\"all\": true}"}
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{"queries": "[Keyword-Based Queries] Find records where department is mentioned", "labels ": "{\"select\": [\"performance_score\"], \"filter\": {\"field\": \"name\", \"eq\": \"Jane Roe\"}}"}
{"queries": "[Diagnostic Queries] Which employees have department above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 20}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
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{"queries": "[Diagnostic Queries] Which employees have performance_score above threshold?", "labels ": "{\"select\": [\"salary\"], \"filter\": {\"field\": \"salary\", \"gte\": 50}}"}
{"queries": "[Semantic Parsing / Text-to-SQL Queries] SELECT name, department FROM employees WHERE salary > 50000", "labels ": "{\"select\": [\"name\", \"department\"], \"filter\": {\"field\": \"salary\", \"gte\": 50000}}"}
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{"queries": "[Advanced QA Formats] Who is the most valuable employee?", "labels ": "{\"vector_search\": true}"}
{"queries": "[Prescriptive Queries] Recommend bonuses for top performers", "labels ": "{\"select\": [\"name\"], \"filter\": {\"field\": \"department\", \"eq\": \"HR\"}}"}
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