q_id int64 0 9.43k | input_ids listlengths 450 49.1k | attention_mask listlengths 450 49.1k | labels listlengths 450 49.1k | input_text stringlengths 1.82k 193k | output_text stringlengths 51 837 | input_prompt stringclasses 215 values |
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the description of the root beer brand A&W?
Clarification: A&W refers to BrandName = 'A&W';
| [query_database(**{'query': 'SELECT Description FROM rootbeerbrand WHERE BrandName = 'A&W''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Among the transactions made in July, 2014, how many of them were made by a male customer?
Clarification: in July, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '07'; male customer refers to Gender = 'M';
| [query_database(**{'query': 'SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,243 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Of the 4 root beers that Frank-Paul Santangelo purchased on 2014/7/7, how many of them were in cans?
Clarification: on 2014/7/7 refers to transactiondate = '2014-07-07'; in cans refers to containertype = 'Can';
| [query_database(**{'query': 'SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07' AND T3.ContainerType = 'Can''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the number of the credit card that Frank-Paul Santangelo used to purchase root beers on 2014/7/7?
Clarification: number of the credit card refers to CreditCardNumber; on 2014/7/7 refers to TransactionDate = '2014-07-07';
| [query_database(**{'query': 'SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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882,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the average number of root beers of the brand A&W sold in a day in August, 2014?
Clarification: average = DIVIDE(SUM(COUNT(RootBeerID WHERE BrandName = 'A&W' AND SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08')), 31); A&W refers to BrandName = 'A&W'; in August, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08';
| [query_database(**{'query': 'SELECT CAST(COUNT(T1.BrandID) AS REAL) / 31 FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014-08%' AND T3.BrandName = 'A&W''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
State the coordinate of Sac State American River Courtyard.
Clarification: coordinate = Latitude, Longitude; Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard';
| [query_database(**{'query': 'SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State American River Courtyard''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Which customer has the most reviews? State the full name.
Clarification: customer that has the most reviews refers to MAX(COUNT(CustomerID)); full name = First, Last;
| [query_database(**{'query': 'SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.CustomerID ORDER BY COUNT(T2.CustomerID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
For the customer who gave a 3 star rating to Frostie brand on 2014/4/24, did the user permit the company to send regular emails to him/her?
Clarification: 3 star rating refers to StarRating = 3; Frostie refers to BrandName = 'Frostie'; if SubscribedToEmailList = 'TRUE', it means the user permit the company to send regular emails to him/her; if SubscribedToEmailList = FALSE', it means the user did not permit the company to send regular emails to him/her; rating on 2014/4/24 refers to ReviewDate = '2014-04-24';
| [query_database(**{'query': 'SELECT CASE WHEN T1.SubscribedToEmailList LIKE 'TRUE' THEN 'YES' ELSE 'NO' END AS result FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T2.StarRating = 3 AND T3.BrandName = 'Frostie' AND T2.ReviewDate = '2014-04-24''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
How many female customers permit the company to send regular emails to them?
Clarification: female refers to Gender = 'F'; customer permits the company to send regular emails to them refers to SubscribedToEmailList = 'TRUE';
| [query_database(**{'query': 'SELECT COUNT(CustomerID) FROM customers WHERE Gender = 'F' AND SubscribedToEmailList = 'TRUE''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
How many customers are named Charles in Sacramento?
Clarification: Sacramento refers to City = 'Sacramento';
| [query_database(**{'query': 'SELECT COUNT(CustomerID) FROM customers WHERE First = 'Charles' AND City = 'Sacramento''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,274 | [
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128007,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Which brewery does the most purchased root beer in 2016 belong to?
Clarification: most purchased root beer refers to MAX(COUNT(BrandID)); in 2016 refers to PurchaseDate > = '2016-01-01' AND PurchaseDate < = '2016-12-31';
| [query_database(**{'query': 'SELECT T2.BreweryName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.PurchaseDate BETWEEN '2016-01-01' AND '2016-12-31' GROUP BY T2.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,278 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
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23524,
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36864,
3465,
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7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
How many Henry Weinhard's were bought by Nicholas Sparks?
Clarification: Henry Weinhard's refers to BrandName = 'Henry Weinhard''s';
| [query_database(**{'query': 'SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.First = 'Nicholas' AND T1.Last = 'Sparks' AND T4.BrandName LIKE 'Henry Weinhard%s''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Which brand of root beer has the lowest unit profit available to wholesalers? Indicate the ID of the customer that has the highest number of purchases of the said brand.
Clarification: brand of root beer refers to BrandName; lowest unit profit available to wholesalers refers to MIN(SUBTRACT(CurrentRetailPrice, WholesaleCost)); ID of the customer refers to CustomerID; highest number of purchases refers to MAX(COUNT(CustomerID));
| [query_database(**{'query': 'SELECT T3.BrandName, T2.CustomerID FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID GROUP BY T3.BrandID ORDER BY T3.CurrentRetailPrice - T3.WholesaleCost, COUNT(T1.BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Find the brand Id of the root beer which has the most number of customers who gave 1-star ratings.
Clarification: most number of customers who gave 1-star ratings refers to MAX(COUNT(StarRating = 1)); 1-star ratings refers to StarRating = 1;
| [query_database(**{'query': 'SELECT BrandID FROM rootbeerreview WHERE StarRating = 1 GROUP BY BrandID ORDER BY COUNT(BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
On average how many caffeinated root beers are sold a day?
Clarification: average = DIVIDE(COUNT(RootBeerID WHERE Caffeinated = 'TRUE'), COUNT(PurchaseDate)); caffeinated refers to Caffeinated = 'TRUE';
| [query_database(**{'query': 'SELECT CAST(COUNT(T2.RootBeerID) AS REAL) / COUNT(DISTINCT T2.PurchaseDate) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.Caffeinated = 'TRUE''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,297 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Among the customers not subscribed to the mailing list, what percentage has given three or more stars in a review?
Clarification: not subscribed to the mailing list refers to SubscribedToEmailList = 'FALSE'; percentage = MULTIPLY(DIVIDE(SUM(CustomerID WHERE StarRating > 3), COUNT(CustomerID) WHERE SubscribedToEmailList = 'FALSE'), 1.0);
| [query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T2.StarRating > 3 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'FALSE''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Which brewery brewed the most sold root beer in 2015?
Clarification: brewery refers to BreweryName; most sold root beer refers to MAX(COUNT(BrandID)); in 2015 refers to TransactionDate > = '2015-01-01' AND TransactionDate < = '2015-12-31';
| [query_database(**{'query': 'SELECT T3.BreweryName FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2015%' GROUP BY T3.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
In the reviews of September 2014. Which brand of beers obtained the highest star ratings?
Clarification: September 2014 refers to ReviewDate LIKE '2014-09%'; brand of beers refers to BrandName; highest star ratings refers to MAX(StarRating);
| [query_database(**{'query': 'SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2014-09-01' AND '2014-09-30''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
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-100,
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-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What brands of beer has Peg Winchester consumed?
Clarification: brands of beer refers to BrandName;
| [query_database(**{'query': 'SELECT T3.BrandName FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T1.First = 'Peg' AND T1.Last = 'Winchester''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
At what latitude is the Thomas Kemper brand beer consumed the most?
Clarification: Thomas Kemper refers to BrandName = 'Thomas Kemper'; latitude the beer is consumed the most refers to MAX(COUNT(Latitude));
| [query_database(**{'query': 'SELECT T3.Latitude FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T2.BrandName = 'Thomas Kemper' GROUP BY T3.Latitude ORDER BY COUNT(T1.BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the average unit profit for wholesalers of canned beers?
Clarification: average unit profit = DIVIDE(SUM(SUBTRACT(CurrentRetailPrice, WholesaleCost)), COUNT(ContainerType = 'Can')); canned beers refers to ContainerType = 'Can';
| [query_database(**{'query': 'SELECT AVG(T2.CurrentRetailPrice - T2.WholesaleCost) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.ContainerType = 'Can''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the full name of the customer who gave a 5-star rating and commented "The quintessential dessert root beer. No ice cream required" on his review?
Clarification: full name = First, Last; 5-star rating refers to StarRating = 5; commented "The quintessential dessert root beer. No ice cream required" refers to Review = 'The quintessential dessert root beer. No ice cream required.';
| [query_database(**{'query': 'SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.Review = 'The quintessential dessert root beer. No ice cream required.''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
List the brand names of bottled root beer whose first brewing year is no later than 1930.
Clarification: bottled root beer refers to ContainerType = 'Bottle'; first brewing year is no later than 1930 refers to FirstBrewedYear < 1930;
| [query_database(**{'query': 'SELECT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.FirstBrewedYear < '1930-01-01' AND T1.ContainerType = 'Bottle' ORDER BY T2.FirstBrewedYear LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,329 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Calculate the total purchases made by customers using their Visa credit cards in the Sac State American River Courtyard between 6/3/2014 and 11/27/2015.
Clarification: total purchases = SUM(PurchasePrice); Visa credit card refers to CreditCardType = 'Visa'; Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; between 6/3/2014 and 11/27/2015 refers to TransactionDate BETWEEN '2014-06-03' AND '2015-11-27';
| [query_database(**{'query': 'SELECT SUM(T1.PurchasePrice) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'Visa' AND T1.TransactionDate BETWEEN '2014-06-03' AND '2015-11-27''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
List down the brand names of root beer that gained a 5-star rating from a customer's review in 2013. Calculate the unit profit available to wholesalers for each brand.
Clarification: 5-star rating refers to StarRating = 5; in 2013 refers to ReviewDate LIKE '2013%'; unit profit available to wholesalers = SUBTRACT(CurrentRetailPrice, WholesaleCost);
| [query_database(**{'query': 'SELECT T1.BrandName, T1.CurrentRetailPrice - T1.WholesaleCost AS result FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2013-01-01' AND '2013-12-31''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
List out the root beer ID for the brand Bulldog, Bundaberg, Dad's, Dog n Suds and Virgil's.
Clarification: Bulldog, Bundaberg, Dad's, Dog n Suds and Virgil's refers to BrandName IN('Bulldog', 'Bundaberg', 'Dad''s', 'Dog n Suds', 'Virgil''s');
| [query_database(**{'query': 'SELECT T1.RootBeerID FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T2.BrandID = T1.BrandID WHERE T2.BrandName IN ('Bulldog', 'Bundaberg', 'Dad''s', 'Dog n Suds', 'Virgil''s')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the amount difference between the bottles of root beer sold from Louisiana and Missouri?
Clarification: difference = SUBTRACT(COUNT(ContainerType = 'Bottle' WHERE State = 'LA'), COUNT(ContainerType = 'Bottle' State = 'MO')); bottles refers to ContainerType = 'Bottle'; Louisiana refers to State = 'LA'; Missouri refers to State = 'MO';
| [query_database(**{'query': 'SELECT ( SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.State = 'LA' AND T1.ContainerType = 'Bottle' ) - ( SELECT COUNT(T3.BrandID) FROM rootbeer AS T3 INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T4.State = 'MO' AND T3.ContainerType = 'Bottle' ) AS DIFFERENCE'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100,
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-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
What is the best seller root beer brand and what is the average star rating for this root beer?
Clarification: best seller root beer refers to MAX(COUNT(BrandID)); average star rating = AVG(StarRating);
| [query_database(**{'query': 'SELECT T1.BrandID, AVG(T1.StarRating) FROM rootbeerreview AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID GROUP BY T3.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
Which type of card did Dick Ruthven use to pay for all of his transactions?
Clarification: type of card refers to CreditCardType;
| [query_database(**{'query': 'SELECT DISTINCT T2.CreditCardType FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Dick' AND T1.Last = 'Ruthven''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
How many purchases were made at Sac State American River Courtyard using Master Card?
Clarification: Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; Master Card refers to CreditCardType = 'MasterCard';
| [query_database(**{'query': 'SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'MasterCard''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,359 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
### Question
How many transactions were made to purchase a bottle of beer using American Express?
Clarification: bottle of beer refers to ContainerType = 'Bottle'; American Express refers to CreditCardType = 'American Express';
| [query_database(**{'query': 'SELECT COUNT(T1.RootBeerID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID WHERE T1.ContainerType = 'Bottle' AND T2.CreditCardType = 'American Express''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE customers
(
CustomerID INTEGER
primary key,
First TEXT,
Last TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
Email TEXT,
PhoneNumber TEXT,
FirstPurchaseDate DATE,
SubscribedToEmailList TEXT,
Gender TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender
101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||walton.k76@fastmail.com ||(916) 918-1561 || 2013-05-30 || FALSE || M
*/
/* column definitions {
"CustomerID": "the unique id for the customer",
"First": "the first name of the customer",
"Last": "the last name of the customer",
"StreetAddress": "the address of the customer",
"City": "the city where the customer lives",
"State": "the state code",
"ZipCode": "the zip code",
"Email": "the customer's email",
"PhoneNumber": "the customer's phone number",
"FirstPurchaseDate": "the first purchase date of the customer",
"SubscribedToEmailList": "whether the customer subscribe to the email list",
"Gender": "the customer's gender"
}*/
CREATE TABLE geolocation
(
LocationID INTEGER
primary key,
Latitude REAL,
Longitude REAL,
foreign key (LocationID) references location(LocationID)
)
/*
1 example row:
SELECT * FROM geolocation LIMIT 1;
LocationID ||Latitude ||Longitude
0 || 0.0 || 0.0
*/
/* column definitions {
"LocationID": "the id of the location",
"Latitude": "the latitude of the location",
"Longitude": "the longitude of the location"
}*/
CREATE TABLE location
(
LocationID INTEGER
primary key,
LocationName TEXT,
StreetAddress TEXT,
City TEXT,
State TEXT,
ZipCode INTEGER,
foreign key (LocationID) references geolocation(LocationID)
)
/*
1 example row:
SELECT * FROM location LIMIT 1;
LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode
0 || LOST || None ||None || None || None
*/
/* column definitions {
"LocationID": "the unique id for the location",
"LocationName": "the name of the location",
"StreetAddress": "the street address",
"City": "the city where the location locates",
"State": "the state code",
"ZipCode": "the zip code of the location"
}*/
CREATE TABLE rootbeerbrand
(
BrandID INTEGER
primary key,
BrandName TEXT,
FirstBrewedYear INTEGER,
BreweryName TEXT,
City TEXT,
State TEXT,
Country TEXT,
Description TEXT,
CaneSugar TEXT,
CornSyrup TEXT,
Honey TEXT,
ArtificialSweetener TEXT,
Caffeinated TEXT,
Alcoholic TEXT,
AvailableInCans TEXT,
AvailableInBottles TEXT,
AvailableInKegs TEXT,
Website TEXT,
FacebookPage TEXT,
Twitter TEXT,
WholesaleCost REAL,
CurrentRetailPrice REAL
)
/*
1 example row:
SELECT * FROM rootbeerbrand LIMIT 1;
BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice
10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0
*/
/* column definitions {
"BrandID": "the unique id for the brand",
"BrandName": "the brand name",
"FirstBrewedYear": "the first brewed year of the brand",
"BreweryName": "the brewery name",
"City": "the city where the brewery locates",
"State": "the state code",
"Country": "the country where the brewery locates",
"Description": "the description of the brand",
"CaneSugar": "whether the drink contains cane sugar",
"CornSyrup": "whether the drink contains the corn syrup",
"Honey": "whether the drink contains the honey ",
"ArtificialSweetener": "whether the drink contains the artificial sweetener ",
"Caffeinated": "whether the drink is caffeinated",
"Alcoholic": "whether the drink is alcoholic",
"AvailableInCans": "whether the drink is available in cans",
"AvailableInBottles": "whether the drink is available in bottles",
"AvailableInKegs": "whether the drink is available in kegs",
"Website": "the website of the brand",
"FacebookPage": "the facebook page of the brand",
"Twitter": "the twitter of the brand",
"WholesaleCost": "the wholesale cost",
"CurrentRetailPrice": "the current retail price"
}*/
CREATE TABLE rootbeer
(
RootBeerID INTEGER
primary key,
BrandID INTEGER,
ContainerType TEXT,
LocationID INTEGER,
PurchaseDate DATE,
foreign key (LocationID) references geolocation(LocationID),
foreign key (LocationID) references location(LocationID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeer LIMIT 1;
RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate
100000 || 10001 || Bottle || 1 || 2015-07-03
*/
/* column definitions {
"RootBeerID": "the unique id for the root beer",
"BrandID": "the brand id",
"ContainerType": "the type of the container",
"LocationID": "the location id of the selling company ",
"PurchaseDate": "the purchase date of the root beer"
}*/
CREATE TABLE rootbeerreview
(
CustomerID INTEGER,
BrandID INTEGER,
StarRating INTEGER,
ReviewDate DATE,
Review TEXT,
primary key (CustomerID, BrandID),
foreign key (CustomerID) references customers(CustomerID),
foreign key (BrandID) references rootbeerbrand(BrandID)
)
/*
1 example row:
SELECT * FROM rootbeerreview LIMIT 1;
CustomerID ||BrandID ||StarRating ||ReviewDate ||Review
101811 || 10012 || 5 ||2013-07-15 || None
*/
/* column definitions {
"CustomerID": "the id of the customer",
"BrandID": "the id of the brand",
"StarRating": "the star rating of the root beer",
"ReviewDate": "the review date",
"Review": "the specific review content"
}*/
CREATE TABLE "transaction"
(
TransactionID INTEGER
primary key,
CreditCardNumber INTEGER,
CustomerID INTEGER,
TransactionDate DATE,
CreditCardType TEXT,
LocationID INTEGER,
RootBeerID INTEGER,
PurchasePrice REAL,
foreign key (CustomerID) references customers(CustomerID),
foreign key (LocationID) references location(LocationID),
foreign key (RootBeerID) references rootbeer(RootBeerID)
)
/*
1 example row:
SELECT * FROM `transaction` LIMIT 1;
TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice
100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0
*/
/* column definitions {
"TransactionID": "the unique id for the transaction",
"CreditCardNumber": "the number of the credit card used for payment",
"CustomerID": "the customer id",
"TransactionDate": "the transaction date",
"CreditCardType": "the credit card type",
"LocationID": "the location id of the selling company ",
"RootBeerID": "the root beer id",
"PurchasePrice": "the unit purchase price of the root beer"
}*/
|
5,363 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
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315,
11470,
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635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
How many sales ids are there for customer id 80?
Clarification:
| [query_database(**{'query': 'SELECT COUNT(SalesID) FROM Sales WHERE CustomerID = 80'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Count the total quantity for sales from id 1 to 10.
Clarification: sales from id 1 to 10 refers to SalesID BETWEEN 1 AND 10;
| [query_database(**{'query': 'SELECT SUM(Quantity) FROM Sales WHERE SalesID BETWEEN 1 AND 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
List down product names of free gifts.
Clarification: free gifts refers to Price = 0;
| [query_database(**{'query': 'SELECT Name FROM Products WHERE Price = 0'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,372 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Calculate the total sales ids that were sales of Flat Washer 8.
Clarification: Flat Washer 8' is name of product;
| [query_database(**{'query': 'SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Flat Washer 8''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,375 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
What is the last name of the customer who placed an order for sales id 178?
Clarification:
| [query_database(**{'query': 'SELECT T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.SalesID = 178'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
What is the last name of sales person for sales id 100?
Clarification:
| [query_database(**{'query': 'SELECT T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T2.SalesID = 100'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Among customers with the last name of Valdez, who purchased the highest quantity?
Clarification: highest quantity refers to MAX(Quantity);
| [query_database(**{'query': 'SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.LastName = 'Valdez' ORDER BY T2.Quantity DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Calculate the total price for products from id 400 to 500.
Clarification: total price = SUM(MULTIPLY(Price, Quantity)); from id 400 to 500 refers to ProductID BETWEEN 400 AND 500;
| [query_database(**{'query': 'SELECT SUM(T1.Price * T2.quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID BETWEEN 400 AND 500'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
List the product ID of the top five products, by descending order, in terms of price.
Clarification: top 5 products in terms of Price refers to MAX(Price) LIMIT 5;
| [query_database(**{'query': 'SELECT ProductID FROM Products ORDER BY Price DESC LIMIT 5'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Tally the product name and quantity of the first ten sales.
Clarification: first ten sales refers to SalesID BETWEEN 1 AND 10;
| [query_database(**{'query': 'SELECT T3.Name, T2.Quantity FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T2.SalesID BETWEEN 1 AND 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,399 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Calculate the total number of sales closed by Michel E. DeFrance?
Clarification:
| [query_database(**{'query': 'SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,403 | [
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-100,
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-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
How many sales people managed to sell Headlights - Weatherproof?
Clarification: Headlights - Weatherproof' is name of product
| [query_database(**{'query': 'SELECT COUNT(T2.SalesPersonID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Headlights - Weatherproof''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,407 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
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23524,
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311,
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635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
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... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Find the number of customers handled by each of the sales people.
Clarification:
| [query_database(**{'query': 'SELECT COUNT(CustomerID) FROM Sales GROUP BY SalesPersonID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,411 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
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635,
20047,
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459,
8475,
4320,
311,
279,
2728,
3488,
13,
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Among all the customers who have purchased ML Bottom Bracket, identify the percentage of sales by Albert I. Ringer?
Clarification: ML Bottom Bracket' is name of product; percentage = MULTIPLY(DIVIDE(SUM(CustomerID WHERE FirstName = 'Albert' AND MiddleInitial = 'I' AND LastName = 'Ringer'), COUNT(CustomerID)), 1.0);
| [query_database(**{'query': 'SELECT CAST(SUM(IIF(T3.FirstName = 'Albert' AND T3.MiddleInitial = 'I' AND T3.LastName = 'Ringer', 1, 0)) AS REAL) * 100 / COUNT(T2.CustomerID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T1.Name = 'ML Bottom Bracket''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,416 | [
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
What is the name of the product that is most sold by sale person id 20?
Clarification: most sold refers to MAX(Quantity);
| [query_database(**{'query': 'SELECT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.SalesPersonID = 20 ORDER BY T2.Quantity DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,420 | [
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882,
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271,
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374,
264,
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635,
20047,
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459,
8475,
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311,
279,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
List the full names of customers who have purchased products in quantity over 600.
Clarification: full names of customers = FirstName, LastName; quantity over 600 refers to quantity > 600;
| [query_database(**{'query': 'SELECT T1.FirstName, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Quantity > 600'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,424 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
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311,
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279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Calculate the total quantity of products that are gifts.
Clarification: total quantity = SUM(Quantity); gifts refers to Price = 0;
| [query_database(**{'query': 'SELECT SUM(T2.Quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price = 0'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,428 | [
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Among the products with product ID lower than 15, how many of them costs 10 and below?
Clarification: product ID lower than 15 refers to ProductID < 15; costs 10 and below refers to Price; Price < = 10;
| [query_database(**{'query': 'SELECT COUNT(ProductID) FROM Products WHERE ProductID < 15 AND Price <= 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,432 | [
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264,
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635,
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311,
279,
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Among the products that have price ranges from 100 to 150, what is the customer ID and sales ID of the product with a quantity lower than 25?
Clarification: price ranges from 100 to 150 refers to Price BETWEEN 100 AND 150; quantity lower than 25 refers to Quantity < 25;
| [query_database(**{'query': 'SELECT T2.CustomerID, T2.SalesID FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price BETWEEN 100 AND 150 AND T2.Quantity < 25'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,436 | [
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882,
128007,
271,
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374,
264,
8668,
315,
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23524,
264,
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635,
20047,
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459,
8475,
4320,
311,
279,
2728,
3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Among products bought by Kathryn Ashe, what is the name of the product with the highest quantity?
Clarification: highest quantity refers to MAX(Quantity);
| [query_database(**{'query': 'SELECT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T3.FirstName = 'Kathryn' AND T3.LastName = 'Ashe' ORDER BY T2.Quantity DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
In sales ID between 30 and 40, who is the customer that bought a total quantity of 403?
Clarification: who refers to FirstName, LastName;
| [query_database(**{'query': 'SELECT T2.FirstName, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Quantity = 403 AND T1.SalesID BETWEEN 30 AND 40'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
How many customers are named Madison?
Clarification:
| [query_database(**{'query': 'SELECT COUNT(CustomerID) FROM Customers WHERE FirstName = 'Madison''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,448 | [
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882,
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271,
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374,
264,
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315,
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311,
279,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
What is the name of the sales person who handled the highest number of sales?
Clarification: name of the sales person = FirstName, MiddleInitial, LastName; highest number of sales refers to MAX(COUNT(SalesID));
| [query_database(**{'query': 'SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T2.SalesPersonID = T1.EmployeeID GROUP BY T2.SalesPersonID, T1.FirstName, T1.MiddleInitial, T1.LastName ORDER BY COUNT(T2.SalesID) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
How many "Mountain-100 Silver, 38" were sold by Stearns MacFeather?
Clarification: Mountain-100 Silver, 38' is name of product;
| [query_database(**{'query': 'SELECT SUM(T2.Quantity) FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.FirstName = 'Stearns' AND T1.LastName = 'MacFeather' AND T3.Name = 'Mountain-100 Silver, 38''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,456 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
How many employees sold "ML Road Frame-W - Yellow, 40"?
Clarification: ML Road Frame-W - Yellow, 40' is name of product;
| [query_database(**{'query': 'SELECT COUNT(T2.SalesPersonID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'ML Road Frame-W - Yellow, 40''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,460 | [
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128006,
882,
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271,
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5412,
374,
264,
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315,
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635,
20047,
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459,
8475,
4320,
311,
279,
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-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Which product has the highest total amount of quantity sold? Calculate its overall total price.
Clarification: highest total amount of quantity refers to MAX(Quantity); overall total price = SUM(MULTIPLY(Quantity, Price));
| [query_database(**{'query': 'SELECT T1.Name, SUM(T2.Quantity * T1.Price) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID, T1.Name ORDER BY SUM(T2.Quantity) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
5,464 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Find and list the full name of customers who bought products above-average quantity.
Clarification: full name of the customer = FirstName, MiddleInitial, LastName; above-average quantity = Quantity > AVG(Quantity);
| [query_database(**{'query': 'SELECT T2.FirstName, T2.MiddleInitial, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.Quantity HAVING T1.Quantity > ( SELECT AVG(Quantity) FROM Sales )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
### Question
Name the product that sold the most quantity.
Clarification: most quantity refers to MAX(Quantity);
| [query_database(**{'query': 'SELECT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.Quantity DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers
(
CustomerID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID ||FirstName ||MiddleInitial || LastName
1 || Aaron || None ||Alexander
*/
/* column definitions {
"CustomerID": "the unique id of the customer",
"FirstName": "the customer's first name",
"MiddleInitial": "the customer's middle initial ",
"LastName": "the customer's last name"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER not null
primary key,
FirstName TEXT not null,
MiddleInitial TEXT null,
LastName TEXT not null
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||FirstName ||MiddleInitial ||LastName
1 || Abraham || e || Bennet
*/
/* column definitions {
"EmployeeID": "the unique id of the employee",
"FirstName": "the employee's first name",
"MiddleInitial": "the employee's middle initial ",
"LastName": "the employee's last name"
}*/
CREATE TABLE Products
(
ProductID INTEGER not null
primary key,
Name TEXT not null,
Price REAL null
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID || Name ||Price
1 ||Adjustable Race || 1.6
*/
/* column definitions {
"ProductID": "the unique id of the product",
"Name": "the product name",
"Price": "the price of the product"
}*/
CREATE TABLE Sales
(
SalesID INTEGER not null
primary key,
SalesPersonID INTEGER not null,
CustomerID INTEGER not null,
ProductID INTEGER not null,
Quantity INTEGER not null,
foreign key (SalesPersonID) references Employees (EmployeeID)
on update cascade on delete cascade,
foreign key (CustomerID) references Customers (CustomerID)
on update cascade on delete cascade,
foreign key (ProductID) references Products (ProductID)
on update cascade on delete cascade
)
/*
1 example row:
SELECT * FROM sales LIMIT 1;
SalesID ||SalesPersonID ||CustomerID ||ProductID ||Quantity
1 || 17 || 10482 || 500 || 500
*/
/* column definitions {
"SalesID": "the unique id of the sales",
"SalesPersonID": "the unique id of the sale person",
"CustomerID": "the unique id of the customer",
"ProductID": "the unique id of the product",
"Quantity": "trading quantity"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Among all the dishes that were once free, what is the name of the dish that had appeared on most menus?
Clarification: dishes that were once free refers to lowest_price = 0; appeared on most menus refers to MAX(menus_appeared);
| [query_database(**{'query': 'SELECT name FROM Dish WHERE lowest_price = 0 ORDER BY menus_appeared DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,475 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Please list the prices of the dish "Clear green turtle" on every menu page it appeared on.
Clarification: Clear green turtle is a name of dish;
| [query_database(**{'query': 'SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Clear green turtle''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,479 | [
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635,
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8475,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Among the menus in which the dish "Clear green turtle" had appeared, how many of them used the dollar as their currency?
Clarification: Clear green turtle is a name of dish; dollar as currency refers to currency = 'Dollars';
| [query_database(**{'query': 'SELECT SUM(CASE WHEN T3.currency = 'Dollars' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T4.name = 'Clear green turtle''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,483 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
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1397,
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311,
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635,
20047,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many dishes are there on the menu "Zentral Theater Terrace"?
Clarification: Zentral Theater Terrace is a name of menu;
| [query_database(**{'query': 'SELECT SUM(CASE WHEN T3.name = 'Zentral Theater Terrace' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,487 | [
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882,
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271,
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264,
8668,
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11470,
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3465,
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311,
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635,
20047,
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20400,
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8475,
4320,
311,
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3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
What is the average price of the dishes on the menu "Zentral Theater Terrace"?
Clarification: average price = AVG(price); Zentral Theater Terrace refers to menu;
| [query_database(**{'query': 'SELECT SUM(T1.price) / COUNT(T1.price) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id WHERE T3.name = 'Zentral Theater Terrace''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,491 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many dishes appeared on a menu more than once?
Clarification: appeared on a menu more than once refers to times_appeared > menus_appeared;
| [query_database(**{'query': 'SELECT COUNT(*) FROM Dish WHERE times_appeared > menus_appeared'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,495 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1... | [
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-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
List the names and menu page IDs of the dishes that first appeared in 1861.
Clarification: first appeared in 1861 refers to first_appeared = 1861;
| [query_database(**{'query': 'SELECT T2.name, T1.dish_id FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.first_appeared = 1861'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,499 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
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1,
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1,
1,
1,
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1,
1,
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1... | [
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
On the menu with the most dishes, how many dishes were there on its second page?
Clarification: menu with the most dishes refers to menu.id with MAX(dish_count); second page refers to page_number = 2;
| [query_database(**{'query': 'SELECT COUNT(T1.dish_id) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id WHERE T2.page_number = 2 GROUP BY T3.name ORDER BY T3.dish_count DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,503 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
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279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many percent of Bluefish dishes are located at the center of the menu page?
Clarification: percent = MULTIPLY(DIVIDE(SUM(xpos BETWEEN 0.25 AND 0.75 and ypos BETWEEN 0.25 AND 0.75), COUNT(id)), 1.0); Bluefish is a sub name of dish; located at the center of the menu page refers to xpos BETWEEN 0.25 AND 0.75 and ypos BETWEEN 0.25 AND 0.75;
| [query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.xpos BETWEEN 0.25 AND 0.75 AND T2.ypos BETWEEN 0.25 AND 0.75 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.id) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name LIKE '%BLuefish%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,507 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
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36864,
3465,
430,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Please describe the menu sponsored by Noviomagus physically.
Clarification: describe the menu physically refers to physical_description; sponsored by Noviomagus refers to sponsor = 'Noviomagus';
| [query_database(**{'query': 'SELECT physical_description FROM Menu WHERE sponsor = 'Noviomagus''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
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8475,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
List down the image IDs for menu located at Manhattan Hotel.
Clarification: located at Manhattan Hotel refers to location = 'Manhattan Hotel';
| [query_database(**{'query': 'SELECT T1.image_id FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.location = 'Manhattan Hotel''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,515 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
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36864,
3465,
430,
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1397,
1495,
311,
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23115,
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635,
20047,
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459,
8475,
4320,
311,
279,
2728,
3488,
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... | [
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
What is the page count for menu with page ID of 130?
Clarification: page ID of 130 refers MenuPage.id = 130;
| [query_database(**{'query': 'SELECT T1.page_count FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.id = 130'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
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635,
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4320,
311,
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3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
List down name of dishes from menu with menu page ID 1389.
Clarification: FALSE;
| [query_database(**{'query': 'SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.menu_page_id = 1389'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,523 | [
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128006,
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128007,
271,
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374,
264,
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... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Calculate the total price of items for menu with ID 12882.
Clarification: total price = SUM(price);
| [query_database(**{'query': 'SELECT SUM(T2.price) FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id WHERE T1.menu_id = 12882'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Write down the top ten menus with the highest dish count.
Clarification: highest dish count refers to MAX(dish_count);
| [query_database(**{'query': 'SELECT name FROM Menu GROUP BY name ORDER BY dish_count DESC LIMIT 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,530 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
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36864,
3465,
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20047,
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Tally the dishes that have appeared on the menu for more than 100 years.
Clarification: appeared on the menu for more than 100 years = SUBTRACT(last_appeared, first_appeared) > 100;
| [query_database(**{'query': 'SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.last_appeared - T1.first_appeared > 100'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Who are the sponsors of the menu whose image full height is more than 10000 mm?
Clarification: image full height is more than 10000 mm refers to full_height > 10000;
| [query_database(**{'query': 'SELECT T2.sponsor FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T1.full_height = 10000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,538 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Name the dishes that cost 180,000.
Clarification: cost 180,000 refers to price = 180000;
| [query_database(**{'query': 'SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.price = 180000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,542 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
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279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many menus sponsored by Krogs Fiske Restaurant were created in April 2015?
Clarification: sponsored by Krogs Fiske Restaurant refers to sponsor = 'Krogs Fiskerestaurant'; created in April 2015 refers to date like '2015-04%';
| [query_database(**{'query': 'SELECT COUNT(*) FROM Menu WHERE date LIKE '2015-04%' AND sponsor = 'Krogs Fiskerestaurant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,546 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many menus include puree of split peas aux croutons?
Clarification: puree of split peas aux croutons is a name of dish;
| [query_database(**{'query': 'SELECT SUM(CASE WHEN T1.name = 'Puree of split peas aux croutons' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,550 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Among the menus sponsored by Pacific Mail Steamship Company, how many menus have no more than 2 pages?
Clarification: sponsored by Pacific Mail Steamship Company refers to sponsor = 'PACIFIC MAIL STEAMSHIP COMPANY'; no more than 2 pages refers to COUNT(page_number) < = 2;
| [query_database(**{'query': 'SELECT COUNT(*) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.sponsor = 'PACIFIC MAIL STEAMSHIP COMPANY' GROUP BY T2.menu_id HAVING COUNT(T2.page_number) <= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,554 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
What are the names of the dishes shown in the lower right corner of menu page 48706?
Clarification: shown in the lower right corner refers to xpos > 0.75 AND ypos > 0.75;
| [query_database(**{'query': 'SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.xpos > 0.75 AND T1.ypos > 0.75 AND T1.menu_page_id = 48706'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,558 | [
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128007,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Please list the IDs of all the menus that are DIYs of the restaurant.
Clarification: menus that are DIYs of the restaurant refers to sponsor is null;
| [query_database(**{'query': 'SELECT id FROM Menu WHERE sponsor IS NULL'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,562 | [
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36864,
3465,
430,
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311,
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635,
20047,
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8475,
4320,
311,
279,
2728,
3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
How many dishes are there on the menu "Zentral Theater Terrace"?
Clarification: Zentral Theater Terrace is a name of menu;
| [query_database(**{'query': 'SELECT COUNT(*) FROM Menu WHERE name = 'Zentral Theater Terrace''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,566 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Which menu page has a bigger width, page 1 of "Zentral Theater Terrace" or page 1 of "Young's Hotel"?
Clarification: if SUM(full_width where page_number = 1 AND menu.name = 'Zentral Theater Terrace') > SUM(full_width where page_number = 1 AND menu.name = 'Young''s Hotel'), it means Zentral Theater Terrace menu page is bigger than Young's Hotel; if SUM(full_width WHERE page_number = 1 AND menu.name = 'Young''s Hotel') < SUM(full_width WHERE page_number = 1 AND menu.name = 'Zentral Theater Terrace'), it means Young's Hotel menu page is bigger than Zentral Theater Terrace;
| [query_database(**{'query': 'SELECT CASE WHEN SUM(CASE WHEN T1.name = 'Zentral Theater Terrace' THEN T2.full_width ELSE 0 END) - SUM(CASE WHEN T1.name = 'Young''s Hotel' THEN T2.full_width ELSE 0 END) > 0 THEN 'Zentral Theater Terrace' ELSE 'Young''s Hotel' END FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Please list the names of all the dishes on page 1 of menu ID12882.
Clarification: page 1 refers to page_number = 1;
| [query_database(**{'query': 'SELECT T3.name FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T1.menu_id = 12882 AND T1.page_number = 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,574 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1,
1,
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-100,
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-100,
-100,
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
### Question
Among the menu pages on which the dish "Paysanne Soup" had appeared, how many of them had a stable price for the dish?
Clarification: Paysanne Soup is a name of dish; stable price refers to highest_price is null;
| [query_database(**{'query': 'SELECT SUM(CASE WHEN T1.name = 'Paysanne Soup' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.highest_price IS NULL'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Dish
(
id INTEGER
primary key,
name TEXT,
description TEXT,
menus_appeared INTEGER,
times_appeared INTEGER,
first_appeared INTEGER,
last_appeared INTEGER,
lowest_price REAL,
highest_price REAL
)
/*
1 example row:
SELECT * FROM dish LIMIT 1;
id || name ||description ||menus_appeared ||times_appeared ||first_appeared ||last_appeared ||lowest_price ||highest_price
1 ||Consomme printaniere royal || None || 8 || 8 || 1897 || 1927 || 0.2 || 0.4
*/
/* column definitions {
"id": "unique id number indicating the dishes",
"name": "the name of the dish",
"description": "description of the dish ",
"menus_appeared": "how many menus have this dish ",
"times_appeared": "how many times this dish appears in the menu",
"first_appeared": "the year that this dish appears first",
"last_appeared": "the year that this dish appears the last time",
"lowest_price": "the lowest price of the dish",
"highest_price": "the highest price of the dish"
}*/
CREATE TABLE Menu
(
id INTEGER
primary key,
name TEXT,
sponsor TEXT,
event TEXT,
venue TEXT,
place TEXT,
physical_description TEXT,
occasion TEXT,
notes TEXT,
call_number TEXT,
keywords TEXT,
language TEXT,
date DATE,
location TEXT,
location_type TEXT,
currency TEXT,
currency_symbol TEXT,
status TEXT,
page_count INTEGER,
dish_count INTEGER
)
/*
1 example row:
SELECT * FROM menu LIMIT 1;
id ||name || sponsor || event || venue || place ||physical_description ||occasion ||notes ||call_number ||keywords ||language || date || location ||location_type ||currency ||currency_symbol || status ||page_count ||dish_count
12463 ||None ||HOTEL EASTMAN ||BREAKFAST ||COMMERCIAL ||HOT SPRINGS, AR || CARD; 4.75X7.5; || EASTER; || || 1900-2822 || None || None ||1900-04-15 ||Hotel Eastman || None || None || None ||complete || 2 || 67
*/
/* column definitions {
"id": "the unique number identifying the menu",
"name": "the name of the menu",
"sponsor": "the sponsor of this menu",
"event": "the event that the menu was created for",
"venue": "the venue that the menu was created for",
"place": "the location that the menu was used",
"physical_description": "physical description of the menu",
"occasion": "occasion of the menu",
"notes": "notes",
"call_number": "call number",
"keywords": "keywords",
"language": "language",
"date": "the date that this menu was created",
"location": "the location that the menu was used",
"location_type": "",
"currency": "the currency that the menu was used",
"currency_symbol": "the currency symbol",
"status": "status of the menu",
"page_count": "the number of pages of this menu",
"dish_count": "the number of dishes of this menu"
}*/
CREATE TABLE MenuPage
(
id INTEGER
primary key,
menu_id INTEGER,
page_number INTEGER,
image_id REAL,
full_height INTEGER,
full_width INTEGER,
uuid TEXT,
foreign key (menu_id) references Menu(id)
)
/*
1 example row:
SELECT * FROM menupage LIMIT 1;
id ||menu_id ||page_number || image_id ||full_height ||full_width || uuid
119 || 12460 || 1 ||1603595.0 || 7230 || 5428 ||510d47e4-2955-a3d9-e040-e00a18064a99
*/
/* column definitions {
"id": "the unique id number indentifying the menupage",
"menu_id": "the id of the menu",
"page_number": "the page number ",
"image_id": "the id of the image ",
"full_height": "full height of the menu page",
"full_width": "full width of the menu page",
"uuid": ""
}*/
CREATE TABLE MenuItem
(
id INTEGER
primary key,
menu_page_id INTEGER,
price REAL,
high_price REAL,
dish_id INTEGER,
created_at TEXT,
updated_at TEXT,
xpos REAL,
ypos REAL,
foreign key (dish_id) references Dish(id),
foreign key (menu_page_id) references MenuPage(id)
)
/*
1 example row:
SELECT * FROM menuitem LIMIT 1;
id ||menu_page_id ||price ||high_price ||dish_id || created_at || updated_at || xpos || ypos
1 || 1389 || 0.4 || None || 1 ||2011-03-28 15:00:44 UTC ||2011-04-19 04:33:15 UTC ||0.111429 ||0.254735
*/
/* column definitions {
"id": "the unique id representing the menu item",
"menu_page_id": "the id of menu page",
"price": "the price of this dish (menu item)",
"high_price": "high price of this dish",
"dish_id": "the id of the dish",
"created_at": "the dates when the item was created",
"updated_at": "the dates when the item was updated",
"xpos": "x-axis position of the dish in this menu page",
"ypos": "y-axis position of the dish in this menu page"
}*/
|
5,578 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
How many shipments were ordered by S K L Enterprises Inc in 2017?
Clarification: "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017
| [query_database(**{'query': 'SELECT COUNT(T2.ship_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'S K L Enterprises Inc' AND STRFTIME('%Y', T2.ship_date) = '2017''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,583 | [
128000,
128006,
882,
128007,
271,
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374,
264,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Among the customers having at least one shipment in 2017, how many of them have an annual revenue of over 30000000?
Clarification: shipment in 2017 refers to Cast(ship_date AS DATE) = 2017; annual revenue of over 30000000 refers to annual_revenue > 30000000
| [query_database(**{'query': 'SELECT COUNT(COUNTCUSID) FROM ( SELECT COUNT(T1.cust_id) AS COUNTCUSID FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2017' AND T1.annual_revenue > 30000000 GROUP BY T1.cust_id HAVING COUNT(T2.ship_id) >= 1 ) T3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
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128006,
882,
128007,
271,
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374,
264,
8668,
315,
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36864,
3465,
430,
1253,
1397,
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311,
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635,
20047,
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459,
8475,
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311,
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3488,
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-100,
-100,
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
What is the maximum weight being transported to New York during a single shipment?
Clarification: "New York" is the city_name; maximum weight refers to Max(weight)
| [query_database(**{'query': 'SELECT MAX(T1.weight) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'New York''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,591 | [
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128007,
271,
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374,
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Among all the shipments to Florida, what is the percentage of the shipment to Jacksonville?
Clarification: "Florida" is the state; "Jacksonville" is city_name;
| [query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.city_name = 'Jacksonville' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Florida''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,595 | [
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128006,
882,
128007,
271,
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374,
264,
8668,
315,
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36864,
3465,
430,
1253,
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311,
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635,
20047,
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8475,
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311,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Where was the destination city of shipment no.1701?
Clarification: shipment no. 1701 refers to ship_id = 1701; destination city refers to city_name
| [query_database(**{'query': 'SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1701''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,599 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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279,
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3488,
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... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Provide the ship date of the first shipment to customers in South Carolina.
Clarification: "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date)
| [query_database(**{'query': 'SELECT MIN(T1.ship_date) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'SC''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
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-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Who was the driver of truck no.3 on 2016/9/19? Tell the full name.
Clarification: truck no. 3 refers to truck_id = 3; on 2016/9/19 refers to ship_date = '2016-09-19'; full name refers to first_name, last_name
| [query_database(**{'query': 'SELECT T3.first_name, T3.last_name FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T1.truck_id = '3' AND T2.ship_date = '2016-09-19''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
To whom did the company transport its heaviest shipment?
Clarification: heaviest shipment refers to Max(weight)
| [query_database(**{'query': 'SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id ORDER BY T1.weight DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,611 | [
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128006,
882,
128007,
271,
33,
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374,
264,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Among the top 5 heaviest shipments, how many shipments were transported via Mack?
Clarification: heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack'
| [query_database(**{'query': 'SELECT COUNT(T2.ship_id) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Mack' ORDER BY T2.weight DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,615 | [
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128006,
882,
128007,
271,
33,
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374,
264,
8668,
315,
11470,
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264,
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36864,
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430,
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311,
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635,
20047,
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459,
8475,
4320,
311,
279,
2728,
3488,
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Among the shipments for Downey, how many shipments were shipped to California in 2016?
Clarification: "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016,
| [query_database(**{'query': 'SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Downey' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'CA''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,619 | [
128000,
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128007,
271,
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-100,
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-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
Identify the total weight of shipments transported to San Mateo, California, in 2016.
Clarification: "San Mateo" is the city_name; in 2016 refers to Cast(ship_date as DATE) = 2016
| [query_database(**{'query': 'SELECT SUM(T1.weight) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'San Mateo' AND STRFTIME('%Y', T1.ship_date) = '2016''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,623 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
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36864,
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459,
8475,
4320,
311,
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
What is the average shipment weight carried by the oldest Mack?
Clarification: "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight)
| [query_database(**{'query': 'SELECT AVG(T2.weight) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Mack''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,627 | [
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882,
128007,
271,
33,
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374,
264,
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315,
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36864,
3465,
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8475,
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2728,
3488,
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... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
How many shipments does each driver deliver per month on average?
Clarification: shipment data was for 24 months in 2016 and 2017 respectively; deliver per month on average refers to Divide(Count(ship_id), Multiply (24, Count(driver_id)))
| [query_database(**{'query': 'SELECT CAST(COUNT(*) AS REAL) / (12 * COUNT(T2.driver_id)) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
5,631 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
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36864,
3465,
430,
1253,
1397,
1495,
311,
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279,
7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
### Question
How many cities whose polulation is larger than 50000 pounds have shipment in 2017?
Clarification: population is larger than 50000 refers to population > 50000
| [query_database(**{'query': 'SELECT COUNT(*) FROM city AS T1 INNER JOIN shipment AS T2 ON T1.city_id = T2.city_id WHERE T1.population > 50000 AND STRFTIME('%Y', T2.ship_date) = '2017''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE city
(
city_id INTEGER
primary key,
city_name TEXT,
state TEXT,
population INTEGER,
area REAL
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
city_id || city_name || state ||population ||area
100 ||Union City ||New Jersey || 67088 || 1.3
*/
/* column definitions {
"city_id": "unique identifier for the city",
"city_name": "name of the city",
"state": "state in which the city is",
"population ": "population of the city",
"area": "square miles the city covers"
}*/
CREATE TABLE customer
(
cust_id INTEGER
primary key,
cust_name TEXT,
annual_revenue INTEGER,
cust_type TEXT,
address TEXT,
city TEXT,
state TEXT,
zip REAL,
phone TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
cust_id || cust_name ||annual_revenue || cust_type || address || city ||state || zip || phone
193 ||Advanced Fabricators || 39588651 ||manufacturer ||5141 Summit Boulevard ||West Palm Beach || FL ||33415.0 ||(561) 683-3535
*/
/* column definitions {
"cust_id": "Unique identifier for the customer",
"cust_name": "Business name of the customer",
"annual_revenue": "Annual revenue of the customer",
"cust_type": "Whether the customer is a manufacturer or a wholes",
"address": "Physical street address of the customer",
"city": "City of the customer's address",
"state": "State of the customer's address",
"zip": "Postal code of the customer's address",
"phone": "Telephone number to reach the customer"
}*/
CREATE TABLE driver
(
driver_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip_code INTEGER,
phone TEXT
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
driver_id ||first_name ||last_name || address || city ||state ||zip_code || phone
20 || Sue || Newell ||268 Richmond Ave ||Memphis || TN || 38106 ||(901) 774-6569
*/
/* column definitions {
"driver_id": "Unique identifier for the driver",
"first_name": "First given name of the driver",
"last_name": "Family name of the driver",
"address": "Street address of the driver's home",
"city": "City the driver lives in",
"state": "State the driver lives in",
"zip_code": "postal code of the driver's address",
"phone": "telephone number of the driver"
}*/
CREATE TABLE truck
(
truck_id INTEGER
primary key,
make TEXT,
model_year INTEGER
)
/*
1 example row:
SELECT * FROM truck LIMIT 1;
truck_id || make ||model_year
1 ||Peterbilt || 2005
*/
/* column definitions {
"truck_id": "Unique identifier of the truck table",
"make": "The brand of the truck",
"model_year": "The year the truck was manufactured"
}*/
CREATE TABLE shipment
(
ship_id INTEGER
primary key,
cust_id INTEGER,
weight REAL,
truck_id INTEGER,
driver_id INTEGER,
city_id INTEGER,
ship_date TEXT,
foreign key (cust_id) references customer(cust_id),
foreign key (city_id) references city(city_id),
foreign key (driver_id) references driver(driver_id),
foreign key (truck_id) references truck(truck_id)
)
/*
1 example row:
SELECT * FROM shipment LIMIT 1;
ship_id ||cust_id ||weight ||truck_id ||driver_id ||city_id || ship_date
1000 || 3660 ||3528.0 || 1 || 23 || 137 ||2016-01-08
*/
/* column definitions {
"ship_id": "Unique identifier of the shipment",
"cust_id": "A reference to the customer table that indicates which customer the shipment is for",
"weight": "The number of pounds being transported on the shipment",
"truck_id": "A reference to the truck table that indicates which truck is used in the shipment",
"driver_id": "A reference to the driver table that indicates which driver transported the goods in the shipment",
"city_id": "A reference to the city table that indicates the destination of the shipment",
"ship_date": "the date the items were received by the driver"
}*/
|
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