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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Find the names of schools that have some students playing in goalie and mid positions.
| [query_database(**{'query': 'SELECT cName FROM tryout WHERE pPos = 'goalie' INTERSECT SELECT cName FROM tryout WHERE pPos = 'mid''})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
|
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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
How many schools have some students playing in goalie and mid positions.
| [query_database(**{'query': 'SELECT COUNT(*) FROM (SELECT cName FROM tryout WHERE pPos = 'goalie' INTERSECT SELECT cName FROM tryout WHERE pPos = 'mid')'})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
|
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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Find the names of states that have some college students playing in the mid position but not in the goalie position.
| [query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' EXCEPT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie''})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the names of the colleges that are larger than at least one college in Florida?
| [query_database(**{'query': 'SELECT DISTINCT cName FROM college WHERE enr > (SELECT min(enr) FROM college WHERE state = 'FL')'})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the total number of students enrolled in schools without any goalies?
| [query_database(**{'query': 'SELECT sum(enr) FROM college WHERE cName NOT IN (SELECT cName FROM tryout WHERE pPos = "goalie")'})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
|
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] | 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
How many states have smaller colleges than average?
| [query_database(**{'query': 'SELECT count(DISTINCT state) FROM college WHERE enr < (SELECT avg(enr) FROM college)'})] | ### 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the different carriers for devices, listed in alphabetical order?
| [query_database(**{'query': 'SELECT Carrier FROM device ORDER BY Carrier ASC'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Return the names of shops, ordered by year of opening ascending.
| [query_database(**{'query': 'SELECT Shop_Name FROM shop ORDER BY Open_Year ASC'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Return the names and locations of shops, ordered by name in alphabetical order.
| [query_database(**{'query': 'SELECT Shop_Name , LOCATION FROM shop ORDER BY Shop_Name ASC'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the open dates and years for the shop named Apple?
| [query_database(**{'query': 'SELECT Open_Date , Open_Year FROM shop WHERE Shop_Name = "Apple"'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
5,069 | [
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the names of device shops, and what are the carriers that they carry devices in stock for?
| [query_database(**{'query': 'SELECT T3.Shop_Name , T2.Carrier FROM stock AS T1 JOIN device AS T2 ON T1.Device_ID = T2.Device_ID JOIN shop AS T3 ON T1.Shop_ID = T3.Shop_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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Show the name of the shop that have the largest quantity of devices in stock.
| [query_database(**{'query': 'SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID ORDER BY SUM(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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the different software platforms for devices, and how many devices have each?
| [query_database(**{'query': 'SELECT Software_Platform , COUNT(*) FROM device GROUP BY Software_Platform'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What is the software platform that is most common amongst all devices?
| [query_database(**{'query': 'SELECT Software_Platform FROM device GROUP BY Software_Platform ORDER BY 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Which locations contains both shops that opened after the year 2012 and shops that opened before 2008?
| [query_database(**{'query': 'SELECT LOCATION FROM shop WHERE Open_Year > 2012 INTERSECT SELECT LOCATION FROM shop WHERE Open_Year < 2008'})] | ### 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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] | 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the carriers of devices that are in stock in more than a single shop?
| [query_database(**{'query': 'SELECT T2.Carrier FROM stock AS T1 JOIN device AS T2 ON T1.Device_ID = T2.Device_ID GROUP BY T1.Device_ID HAVING COUNT(*) > 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
List the order dates of all the bookings.
| [query_database(**{'query': 'SELECT Order_Date FROM BOOKINGS'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
58,
1663,
28441,
22551,
13922,
1663,
1232,
364,
4963,
1797,
29771,
4393,
44399,
4419,
66360,
60,
128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
How many customers do we have?
| [query_database(**{'query': 'SELECT count(*) FROM CUSTOMERS'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the phone number and email address of customer "Harold".
| [query_database(**{'query': 'SELECT Customer_Phone , Customer_Email_Address FROM CUSTOMERS WHERE Customer_Name = "Harold"'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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58,
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28441,
22551,
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2006,
11417,
16213,
66360,
60,
128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the minimum, average, and maximum quantities ordered? Check all the invoices.
| [query_database(**{'query': 'SELECT min(Order_Quantity) , avg(Order_Quantity) , max(Order_Quantity) FROM INVOICES'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the marketing region description of China?
| [query_database(**{'query': 'SELECT Marketing_Region_Descriptrion FROM Marketing_Regions WHERE Marketing_Region_Name = "China"'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Tell me the name of the most pricy product.
| [query_database(**{'query': 'SELECT Product_Name FROM PRODUCTS ORDER BY Product_Price 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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5525,
60,
128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the phone number of performer "Ashley".
| [query_database(**{'query': 'SELECT Customer_Phone FROM PERFORMERS WHERE Customer_Name = "Ashley"'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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58,
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66360,
60,
128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the payment method that is used the most often in all the invoices. Give me its code.
| [query_database(**{'query': 'SELECT payment_method_code FROM INVOICES GROUP BY payment_method_code ORDER BY 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the states or counties where the stores with marketing region code "CA" are located.
| [query_database(**{'query': 'SELECT T1.State_County FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Marketing_Region_Code = "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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Give me the descriptions of the service types that cost more than 100.
| [query_database(**{'query': 'SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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350,
16,
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350,
17,
6328,
350,
16,
14181,
14045,
39184,
220,
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] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the description and code of the service type that is performed the most times.
| [query_database(**{'query': 'SELECT T1.Service_Type_Description , T1.Service_Type_Code FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T1.Service_Type_Code ORDER BY 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the names of the workshop groups where services with product name "film" are performed.
| [query_database(**{'query': 'SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T2.Product_Name = "film"'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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58,
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the product names whose average product price is below 1000000.
| [query_database(**{'query': 'SELECT Product_Name FROM PRODUCTS GROUP BY Product_Name HAVING avg(Product_Price) < 1000000'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the order detail for the products with price above 2000.
| [query_database(**{'query': 'SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the order dates of the orders with price above 1000.
| [query_database(**{'query': 'SELECT T1.Order_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID JOIN Products AS T3 ON T2.Product_ID = T3.Product_ID WHERE T3.Product_price > 1000'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the names of the drama workshop groups with address in Feliciaberg city?
| [query_database(**{'query': 'SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg"'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Show all cities along with the number of drama workshop groups in each city.
| [query_database(**{'query': 'SELECT T1.City_Town , count(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town'})] | ### 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Which cities have at least one customer but no performer?
| [query_database(**{'query': 'SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
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58,
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Show the names of all the clients with no booking.
| [query_database(**{'query': 'SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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58,
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128009
] | 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the product ID of the most frequently ordered item on invoices?
| [query_database(**{'query': 'SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many bands are there?
| [query_database(**{'query': 'SELECT count(*) FROM Band'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the different album labels listed?
| [query_database(**{'query': 'SELECT DISTINCT label FROM Albums'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
return all columns of the albums created in the year of 2012.
| [query_database(**{'query': 'SELECT * FROM Albums WHERE YEAR = 2012'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
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)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Count the number of songs.
| [query_database(**{'query': 'SELECT count(*) FROM Songs'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many musicians play in the song "Flash"?
| [query_database(**{'query': 'SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the first and last names of the artist who perfomed the song "Badlands"?
| [query_database(**{'query': 'SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the unique labels for the albums?
| [query_database(**{'query': 'SELECT count(DISTINCT label) FROM albums'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the last name of the musician who was in the most songs?
| [query_database(**{'query': 'SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the names of the songs whose title has the word "the"?
| [query_database(**{'query': 'SELECT title FROM songs WHERE title LIKE '% the %''})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What instruments did the musician with the last name "Heilo" play in the song "Le Pop"?
| [query_database(**{'query': 'SELECT T4.instrument FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId JOIN Instruments AS T4 ON T4.songid = T3.songid AND T4.bandmateid = T2.id WHERE T2.lastname = "Heilo" AND T3.title = "Le Pop"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many songs use drums as an instrument?
| [query_database(**{'query': 'SELECT count(*) FROM instruments WHERE instrument = "drums"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many different instruments are used in the song "Le Pop"?
| [query_database(**{'query': 'SELECT count(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are all the instruments used by the musician with the last name "Heilo"?
| [query_database(**{'query': 'SELECT instrument FROM instruments AS T1 JOIN Band AS T2 ON T1.bandmateid = T2.id WHERE T2.lastname = "Heilo"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the type of vocables that appears most frequently?
| [query_database(**{'query': 'SELECT TYPE FROM vocals GROUP BY TYPE ORDER BY 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the types of vocals used in the song "Le Pop"?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many songs have vocals of type lead?
| [query_database(**{'query': 'SELECT count(DISTINCT title) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE TYPE = "lead"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find all the songs that do not have a lead vocal.
| [query_database(**{'query': 'SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE TYPE = "lead"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the albums produced in year 2010?
| [query_database(**{'query': 'SELECT * FROM Albums WHERE YEAR = 2010'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the last name of the musician that have produced the most songs?
| [query_database(**{'query': 'SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many instruments does the song "Badlands" use?
| [query_database(**{'query': 'SELECT count(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Badlands"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find the number of vocal types used in song "Le Pop"
| [query_database(**{'query': 'SELECT count(*) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find all the songs that do not have a back vocal.
| [query_database(**{'query': 'SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE TYPE = "back"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the types of vocals that the musician with the last name "Heilo" played in "Der Kapitan"?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid JOIN band AS T3 ON T1.bandmate = T3.id WHERE T3.lastname = "Heilo" AND T2.title = "Der Kapitan"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Which vocal type has the band mate with first name "Marianne" played the most?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Marianne" GROUP BY TYPE ORDER BY 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find the name of songs that does not have a back vocal.
| [query_database(**{'query': 'SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE TYPE = "back"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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] | 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are all the songs in albums under label "Universal Music Group"?
| [query_database(**{'query': 'SELECT T3.title FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE t1.label = "Universal Music Group"'})] | ### 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 "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
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SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
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"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
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SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
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FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
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*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Who is the founder of Sony?
| [query_database(**{'query': 'SELECT founder FROM manufacturers WHERE name = 'Sony''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
|
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
What is the headquarter of the company whose founder is James?
| [query_database(**{'query': 'SELECT headquarter FROM manufacturers WHERE founder = 'James''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
|
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
What are the average, maximum and total revenues of all companies?
| [query_database(**{'query': 'SELECT avg(revenue) , max(revenue) , sum(revenue) FROM manufacturers'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
|
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the total revenue created by the companies whose headquarter is located at Austin.
| [query_database(**{'query': 'SELECT sum(revenue) FROM manufacturers WHERE headquarter = 'Austin''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
How many manufacturers have headquarters in either Tokyo or Beijing?
| [query_database(**{'query': 'SELECT count(*) FROM manufacturers WHERE headquarter = 'Tokyo' OR headquarter = 'Beijing''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
What is the total revenue of all companies whose main office is at Tokyo or Taiwan?
| [query_database(**{'query': 'SELECT sum(revenue) FROM manufacturers WHERE Headquarter = 'Tokyo' OR Headquarter = 'Taiwan''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the name, headquarter and founder of the manufacturer that has the highest revenue.
| [query_database(**{'query': 'SELECT name , headquarter , founder FROM manufacturers ORDER BY revenue 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the name, headquarter and revenue of all manufacturers sorted by their revenue in the descending order.
| [query_database(**{'query': 'SELECT name , headquarter , revenue FROM manufacturers ORDER BY revenue DESC'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the name of companies whose revenue is smaller than the revenue of all companies based in Austin.
| [query_database(**{'query': 'SELECT name FROM manufacturers WHERE revenue < (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the total revenue of companies of each founder.
| [query_database(**{'query': 'SELECT sum(revenue) , founder FROM manufacturers GROUP BY founder'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the total revenue for each manufacturer.
| [query_database(**{'query': 'SELECT sum(revenue) , name FROM manufacturers GROUP BY name'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the number of different products that are produced by companies at different headquarter cities.
| [query_database(**{'query': 'SELECT count(DISTINCT T1.name) , T2.Headquarter FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.Headquarter'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Find the name of companies that do not make DVD drive.
| [query_database(**{'query': 'SELECT name FROM manufacturers EXCEPT SELECT T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T1.name = 'DVD drive''})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Select the names of all the products in the store.
| [query_database(**{'query': 'SELECT Name FROM Products'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Select the name of the products with a price less than or equal to $200.
| [query_database(**{'query': 'SELECT name FROM products WHERE price <= 200'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Compute the average price of all the products.
| [query_database(**{'query': 'SELECT avg(price) FROM products'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Compute the number of products with a price larger than or equal to $180.
| [query_database(**{'query': 'SELECT count(*) FROM products WHERE price >= 180'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
What is all the product data, as well as each product's manufacturer?
| [query_database(**{'query': 'SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
What are the average prices of products, grouped by manufacturer name?
| [query_database(**{'query': 'SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
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] | 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
### Question
Select the name of each manufacturer along with the name and price of its most expensive product.
| [query_database(**{'query': 'SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name'})] | ### 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 Manufacturers (
Code INTEGER,
Name VARCHAR(255) NOT NULL,
Headquarter VARCHAR(255) NOT NULL,
Founder VARCHAR(255) NOT NULL,
Revenue REAL,
PRIMARY KEY (Code)
)
/*
1 example row:
SELECT * FROM manufacturers LIMIT 1;
Code ||Name ||Headquarter ||Founder ||Revenue
1 ||Sony || Tokyo || Andy || 120.0
*/
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255) NOT NULL ,
Price DECIMAL NOT NULL ,
Manufacturer INTEGER NOT NULL,
PRIMARY KEY (Code),
FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Code || Name ||Price ||Manufacturer
1 ||Hard drive || 240 || 5
*/
|
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
What is the id of the problem log that is created most recently?
| [query_database(**{'query': 'SELECT problem_log_id FROM problem_log ORDER BY log_entry_date 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
Find all the ids and dates of the logs for the problem whose id is 10.
| [query_database(**{'query': 'SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
List the first and last names of all distinct staff members who are assigned to the problem whose id is 1.
| [query_database(**{'query': 'SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
How many problems are there for product voluptatem?
| [query_database(**{'query': 'SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem"'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
Give me a list of descriptions of the problems that are reported by the staff whose first name is Christop.
| [query_database(**{'query': 'SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop"'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
What are the ids of the problems which are reported after 1978-06-26?
| [query_database(**{'query': 'SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26"'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
For each product which has problems, what are the number of problems and the product id?
| [query_database(**{'query': 'SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
List the names of all the distinct product names in alphabetical order?
| [query_database(**{'query': 'SELECT DISTINCT product_name FROM product ORDER BY product_name'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
What are the id of problems reported by the staff named Dameon Frami or Jolie Weber?
| [query_database(**{'query': 'SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T2.staff_last_name = "Weber"'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte?
| [query_database(**{'query': 'SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte" )'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
Find the top 3 products which have the largest number of problems?
| [query_database(**{'query': 'SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
### Question
Find the first and last name of the staff members who reported problems from the product "rem" but not "aut"?
| [query_database(**{'query': 'SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "aut"'})] | ### 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 `Problem_Category_Codes` (
`problem_category_code` VARCHAR(20) PRIMARY KEY,
`problem_category_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_category_codes LIMIT 1;
problem_category_code ||problem_category_description
Datatabase ||Database design or contents.
*/
CREATE TABLE `Problem_Log` (
`problem_log_id` INTEGER PRIMARY KEY,
`assigned_to_staff_id` INTEGER NOT NULL,
`problem_id` INTEGER NOT NULL,
`problem_category_code` VARCHAR(20) NOT NULL,
`problem_status_code` VARCHAR(20) NOT NULL,
`log_entry_date` DATETIME,
`log_entry_description` VARCHAR(255),
`log_entry_fix` VARCHAR(255),
`other_log_details` VARCHAR(255),
FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` )
)
/*
1 example row:
SELECT * FROM problem_log LIMIT 1;
problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details
1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p
*/
CREATE TABLE `Problem_Status_Codes` (
`problem_status_code` VARCHAR(20) PRIMARY KEY,
`problem_status_description` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM problem_status_codes LIMIT 1;
problem_status_code ||problem_status_description
Reported || Reported
*/
CREATE TABLE `Product` (
`product_id` INTEGER PRIMARY KEY,
`product_name` VARCHAR(80),
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id ||product_name ||product_details
1 || rose || k
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_first_name` VARCHAR(80),
`staff_last_name` VARCHAR(80),
`other_staff_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_first_name ||staff_last_name ||other_staff_details
1 || Lacey || Bosco || m
*/
CREATE TABLE `Problems` (
`problem_id` INTEGER PRIMARY KEY,
`product_id` INTEGER NOT NULL,
`closure_authorised_by_staff_id` INTEGER NOT NULL,
`reported_by_staff_id` INTEGER NOT NULL,
`date_problem_reported` DATETIME NOT NULL,
`date_problem_closed` DATETIME,
`problem_description` VARCHAR(255),
`other_problem_details` VARCHAR(255),
FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ),
FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` )
)
/*
1 example row:
SELECT * FROM problems LIMIT 1;
problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details
1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p
*/
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
How many branches where have more than average number of memberships are there?
| [query_database(**{'query': 'SELECT count(*) FROM branch WHERE membership_amount > (SELECT avg(membership_amount) FROM branch)'})] | ### 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
|
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
What are the names, address roads, and cities of the branches ordered by opening year?
| [query_database(**{'query': 'SELECT name , address_road , city FROM branch ORDER BY open_year'})] | ### 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
What are the different cities that have more than 100 memberships?
| [query_database(**{'query': 'SELECT DISTINCT city FROM branch WHERE membership_amount >= 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
|
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
What are the minimum and maximum membership amounts for all branches that either opened in 2011 or are located in London?
| [query_database(**{'query': 'SELECT min(membership_amount) , max(membership_amount) FROM branch WHERE open_year = 2011 OR city = 'London''})] | ### 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
Show card number, name, and hometown for all members in a descending order of level.
| [query_database(**{'query': 'SELECT card_number , name , hometown FROM member ORDER BY LEVEL DESC'})] | ### 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
|
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] | 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
### Question
Show all member names and registered branch names sorted by register year.
| [query_database(**{'query': 'SELECT T3.name , T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id ORDER BY T1.register_year'})] | ### 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 "member" (
"Member_ID" int,
"Card_Number" text,
"Name" text,
"Hometown" text,
"Level" int,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID ||Card_Number || Name || Hometown ||Level
1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6
*/
CREATE TABLE "branch" (
"Branch_ID" int,
"Name" text,
"Open_year" text,
"Address_road" text,
"City" text,
"membership_amount" text,
PRIMARY KEY ("Branch_ID")
)
/*
1 example row:
SELECT * FROM branch LIMIT 1;
Branch_ID || Name ||Open_year || Address_road || City ||membership_amount
1 ||Alexandre || 2001 ||Valleys Place ||London || 112
*/
CREATE TABLE "membership_register_branch" (
"Member_ID" int,
"Branch_ID" text,
"Register_Year" text,
PRIMARY KEY ("Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM membership_register_branch LIMIT 1;
Member_ID ||Branch_ID ||Register_Year
1 || 1 || 2016
*/
CREATE TABLE "purchase" (
"Member_ID" int,
"Branch_ID" text,
"Year" text,
"Total_pounds" real,
PRIMARY KEY ("Member_ID","Branch_ID","Year"),
FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"),
FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID")
)
/*
1 example row:
SELECT * FROM purchase LIMIT 1;
Member_ID ||Branch_ID ||Year ||Total_pounds
1 || 3 ||2018 || 2013.32
*/
|
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