Configuration 1: bert on use with cosine distance
Configuration 2: bert on fasttext with cosine distance
Testing on: combined queries for the online_delivary schema
Entries below have greater num_guesses with a threshold of 3
--------------------------------------------------
--------------------------------------------------

Query (#1): predict the total order where the cuisine is chinese for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#2): predict the total order where the preferred medium of order is online within tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#3): predict the total order where the customer is married and monthly income is greater than two thousand within next two weeks
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#4): predict the average reduction of order because of poor hygiene and health concern
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#5): predict the total order placed by mistake when the customer lives in a busy location for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#6): predict the maximum order placed by mistake where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#7): predict the total missing item where the gender of a customer is female for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#8): predict the total order placed by mistake where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#9): predict the average accurately located on google maps order where the customers education qualification is high within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#10): predict the total order with good food quality where the family size is more than four
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#11): predict the total order with medium preference is online where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#12): predict the total order with medium preference is online where type of meal preferred is family size within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#13): predict the total order where the preferred cuisine is Indian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#14): predict the total order where there is ease of online order for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#15): predict the total order where the number of choice of restaurant is more than three for the next week
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#16): predict the maximum order with easy payment option where the preferred cuisine is Chinese for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#17): predict the total order with offers and discounts where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#18): predict the total order with good food quality where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#19): predict the total order delivered with good tracking system where age of customer is more than 30 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#20): predict the maximum reduction of order for self cooking where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#21): predict the maximum reduction of order for health concern where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#22): predict the average cancelled order for late delivery where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#23): predict the total order reduced for poor hygiene where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#24): predict the total order reduced for bad past experience where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#25): predict the total order reduced for unavailability where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#26): predict the total order reduced for being unaffordable where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#27): predict the total delay of delivery person getting assigned where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#28): predict the total delay of delivery person picking up food where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#29): predict the total delay of delivery person getting assigned where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#30): predict the total delay of delivery person picking up food where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#31): predict the total order with good reviews where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#32): predict the total order with good quantity where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#33): predict the total order with good quantity where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#34): predict the maximum order time where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#35): predict the maximum order time where the road condition is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#36): predict the maximum order time where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#37): predict the average number of calls made by delivery captain where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#38): predict the average number of calls made by delivery captain where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#39): predict the average number of calls made by delivery captain where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#40): I want to know the average temperature of food where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#41): I want to know the average temperature of food where the customers residence area road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#42): predict the total order increased for politeness where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#43): predict the total order increased for freshness of food where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#44): predict the total order increased for freshness of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#45): predict the total order increased for good taste of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#46): I want to know the average temperature of food where the quality of package is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#47): I want to know the average temperature of food where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#48): I want to know the average reviews on online delivery services where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#49): I want to know the average reviews on online delivery services where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#50): I want to know the average reviews on online delivery services where the delivery time is more than one hour for the next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#51): Can you help me find the maximum order where the cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#52): predict the minimum order where the cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#53): I want to know the average order where the cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#54): predict the maximum order where the preferred medium of order is online within tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#55): Help me find the min order where the preferred medium of order is online within tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#56): predict the average order where the preferred medium of order is online within tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#57): predict the max order where the customer is married and monthly income is greater than two thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#58): predict the minimum order where the customer is married and monthly income is greater than two thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#59): predict the avg order where the customer is married and monthly income is greater than two thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#60): predict the total reduction of order because of poor hygiene and health concern
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#61): I want to know the max reduction of order because of poor hygiene and health concern
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#62): Help me find the min reduction of order because of poor hygiene and health concern
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#63): I want to know the maximum order placed by mistake when the customer lives in a busy location for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#64): Help me find the min order placed by mistake when the customer lives in a busy location for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#65): predict the average order placed by mistake when the customer lives in a busy location for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#66): predict the average order placed by mistake where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#67): predict the minimum order placed by mistake where the age of a customer is less than 21 for the next week
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#68): I want to know the total order placed by mistake where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#69): predict the average missing item where the gender of a customer is female for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#70): Help me find the maximum missing item where the gender of a customer is female for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#71): Help me find the minimum missing item where the gender of a customer is female for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#72): predict the avg order placed by mistake where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#73): I want to know the max order placed by mistake where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#74): predict the min order placed by mistake where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#75): I want to know the average high quality package order where the customers monthly income is greater than three thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#76): predict the maximum high quality package order where the customers monthly income is greater than three thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#77): predict the minimum high quality package order where the customers monthly income is greater than three thousand within next two weeks
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#78): Help me find the total accurately located on google maps order where the customers education qualification is high within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#79): Help me find the mean accurately located on google maps order where the customers education qualification is high within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#80): predict the max accurately located on google maps order where the customers education qualification is high within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#81): predict the mean order with good food quality where the family size is more than four
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#82): I want to know the min order with good food quality where the family size is more than four
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#83): predict the maximum order with good food quality where the family size is more than four
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#84): I want to know the min order with medium preference is online where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#85): predict the mean order with medium preference is online where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#86): Help me find the maximum order with medium preference is online where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#87): Help me find the avg order with medium preference is online where type of meal preferred is family size within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#88): predict the minimum order with medium preference is online where type of meal preferred is family size within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#89): predict the max order with medium preference is online where type of meal preferred is family size within next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#90): predict the average order where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#91): I want to know the min order where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#92): predict the maximum order where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#93): Help me find the min order where there is ease of online order for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#94): predict the max order where there is ease of online order for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#95): I want to know the average order where there is ease of online order for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#96): Help me find the min order where the number of choice of restaurant is more than three for the next week
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#97): Help me find the average order where the number of choice of restaurant is more than three for the next week
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#98): predict the mean order where the number of choice of restaurant is more than three for the next week
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#99): I want to know the total order with easy payment option where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#100): predict the average order with easy payment option where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#101): predict the mean order with easy payment option where the preferred cuisine is Italian for the next week
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#102): I want to know the min order with offers and discounts where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#103): predict the average order with offers and discounts where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#104): predict the average order with offers and discounts where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#105): I want to know the mean order with offers and discounts where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#106): predict the maximum order with good food quality where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#107): Help me find the average order with good food quality where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#108): Help me find the mean order with good food quality where age of customer is more than 40 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#109): predict the min order delivered with good tracking system where age of customer is more than 30 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#110): I want to know the average order delivered with good tracking system where age of customer is more than 30 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#111): Can you help me find the max order delivered with good tracking system where age of customer is more than 30 within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#112): I want to know the mean reduction of order for self cooking where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#113): predict the average reduction of order for self cooking where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#114): I want to know the min reduction of order for self cooking where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#115): predict the min reduction of order for health concern where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#116): predict the average reduction of order for health concern where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#117): I want to know the mean reduction of order for health concern where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#118): predict the max cancelled order for late delivery where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#119): Can you help me find the total cancelled order for late delivery where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#120): I want to know the mean cancelled order for late delivery where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#121): I want to know the min order reduced for poor hygiene where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#122): I want to know the average order reduced for poor hygiene where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#123): predict the mean order reduced for poor hygiene where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#124): predict the maximum order reduced for bad past experience where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#125): predict the average order reduced for bad past experience where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#126): I want to know the mean order reduced for bad past experience where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#127): Can you help me find the min order reduced for unavailability where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#128): predict the average order reduced for unavailability where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#129): predict the mean order reduced for unavailability where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#130): I want to know the max order reduced for being unaffordable where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#131): predict the average order reduced for being unaffordable where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#132): predict the mean order reduced for being unaffordable where the age of a customer is less than 21 for the next month
Ground Truth (filter_operation): IS LESS THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#133): I want to know the maximum delay of delivery person getting assigned where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#134): I want to know the average delay of delivery person getting assigned where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#135): Can you help me find the mean delay of delivery person getting assigned where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#136): predict the max delay of delivery person picking up food where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#137): predict the average delay of delivery person picking up food where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#138): I want to know the mean delay of delivery person picking up food where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#139): predict the min delay of delivery person getting assigned where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#140): predict the average delay of delivery person getting assigned where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#141): I want to know the mean delay of delivery person getting assigned where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#142): I want to know the max delay of delivery person picking up food where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#143): Can you help me find the maximum delay of delivery person picking up food where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#144): Can you help me find the mean delay of delivery person picking up food where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#145): predict the maximum order with good reviews where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#146): predict the mean order with good reviews where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#147): I want to know the average order with good reviews where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#148): predict the mean order with good quantity where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#149): Can you help me find the maximum order with good quantity where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#150): I want to know the minimum order with good quantity where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#151): I want to know the max order with good quantity where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#152): Can you help me find the min order with good quantity where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#153): predict the mean order with good quantity where the family size is more than four within next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#154): predict the min order time where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#155): predict the mean order time where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#156): I want to know the average order time where the road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#157): predict the total order time where the road condition is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#158): I want to know the minimum order time where the road condition is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#159): predict the mean order time where the road condition is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#160): Can you help me find the mean order time where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#161): Can you help me find the avg order time where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#162): predict the min order time where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#163): I want to know the min number of calls made by delivery captain where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#164): I want to know the maximum number of calls made by delivery captain where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#165): predict the mean number of calls made by delivery captain where the delivery persons ability is not good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#166): I want to know the maximum number of calls made by delivery captain where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#167): predict the mean number of calls made by delivery captain where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#168): predict the total number of calls made by delivery captain where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#169): I want to know the max number of calls made by delivery captain where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#170): predict the min number of calls made by delivery captain where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#171): predict the mean number of calls made by delivery captain where the customers residence is in busy location for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#172): I want to know the min temperature of food where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#173): I want to know the maximum temperature of food where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#174): I want to know the mean temperature of food where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#175): I want to know the max temperature of food where the customers residence area road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#176): I want to know the total temperature of food where the customers residence area road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#177): I want to know the mean temperature of food where the customers residence area road condition is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#178): predict the max order increased for politeness where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#179): predict the minimum order increased for politeness where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#180): I want to know the mean order increased for politeness where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#181): Can you help me find the mean order increased for freshness of food where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#182): Can you help me find the maximum order increased for freshness of food where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#183): predict the average order increased for freshness of food where the occupation of the customer is job holder for tomorrow
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#184): I want to know the maximum order increased for freshness of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#185): predict the min order increased for freshness of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#186): predict the mean order increased for freshness of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#187): predict the min order increased for good taste of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#188): Can you help me find the maximum order increased for good taste of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#189): Can you help me find the mean order increased for good taste of food where the customers monthly income is greater than two thousand for tomorrow
Ground Truth (filter_operation): IS GREATER THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#190): I want to know the maximum temperature of food where the quality of package is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#191): I want to know the min temperature of food where the quality of package is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#192): I want to know the mean temperature of food where the quality of package is good for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#193): I want to know the maximum temperature of food where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#194): I want to know the total temperature of food where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#195): I want to know the mean temperature of food where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#196): I want to know the min reviews on online delivery services where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#197): I want to know the maximum reviews on online delivery services where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#198): I want to know the mean reviews on online delivery services where the customers location on google map is not accurate for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#199): I want to know the max reviews on online delivery services where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#200): I want to know the mean reviews on online delivery services where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#201): I want to know the total reviews on online delivery services where the quantity is low and delivery time is low for the next month
Ground Truth (filter_operation): IS EQUAL TO

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#202): I want to know the maximum reviews on online delivery services where the delivery time is more than one hour for the next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#203): I want to know the total reviews on online delivery services where the delivery time is more than one hour for the next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#204): I want to know the mean reviews on online delivery services where the delivery time is more than one hour for the next month
Ground Truth (filter_operation): IS MORE THAN

Annotation 1: []
Annotation 2: []

Configuration 1 took 2 attempt(s) to get the correct answer
Configuration 2 took 2 attempt(s) to get the correct answer

--------------------------------------------------

Query (#205): predict the total wrong order delivered for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#206): predict the average wrong order delivered for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#207): predict the maximum wrong order delivered for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#208): predict the minimum wrong order delivered for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#209): predict the minimum wrong order delivered for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#210): predict the total missing item for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#211): predict the average missing item for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#212): predict the maximum missing item for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#213): predict the minimum missing item for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#214): predict the minimum missing item for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#215): predict the total Order placed by mistake for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#216): predict the average Order placed by mistake for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#217): predict the maximum Order placed by mistake for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#218): predict the minimum Order placed by mistake for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#219): predict the minimum Order placed by mistake for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#220): predict the total reviews for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#221): predict the average reviews for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#222): predict the maximum reviews for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#223): predict the minimum reviews for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#224): predict the minimum reviews for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#225): predict the total late delivary for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#226): predict the average late delivary for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#227): predict the maximum late delivary for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#228): predict the minimum late delivary for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#229): predict the minimum late delivary for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#230): predict the total long delivary time for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#231): predict the average long delivary time for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#232): predict the maximum long delivary time for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#233): predict the minimum long delivary time for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#234): predict the minimum long delivary time for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#235): predict the total delay of delivery person getting assigned for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#236): predict the average delay of delivery person getting assigned for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#237): predict the maximum delay of delivery person getting assigned for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#238): predict the minimum delay of delivery person getting assigned for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#239): predict the minimum delay of delivery person getting assigned for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#240): predict the total delay of delivery person picking up food for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#241): predict the average delay of delivery person picking up food for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#242): predict the maximum delay of delivery person picking up food for each order within the next day
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#243): predict the minimum delay of delivery person picking up food for each order within the next week
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

Query (#244): predict the minimum delay of delivery person picking up food for each order within the next month
Ground Truth (filter_operation): NONE

Annotation 1: []
Annotation 2: []

Configuration 1 took 1 attempt(s) to get the correct answer
Configuration 2 took 1 attempt(s) to get the correct answer

--------------------------------------------------

