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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What are the names, classes, and ranks of all captains?
| [query_database(**{'query': 'SELECT name , CLASS , rank FROM captain'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
|
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Give the classes that have more than two captains.
| [query_database(**{'query': 'SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Return the average and minimum age of captains in each class.
| [query_database(**{'query': 'SELECT avg(age) , min(age) , CLASS FROM captain GROUP BY CLASS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What are the ranks of captains that have no captain that are in the Third-rate ship of the line class?
| [query_database(**{'query': 'SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Count the number of ships.
| [query_database(**{'query': 'SELECT count(*) FROM ship'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What are the different ship flags, and how many ships have each?
| [query_database(**{'query': 'SELECT count(*) , flag FROM ship GROUP BY flag'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What are the names of ships, ordered by year they were built and their class?
| [query_database(**{'query': 'SELECT name FROM ship ORDER BY built_year , CLASS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What is the year in which most ships were built?
| [query_database(**{'query': 'SELECT built_year FROM ship GROUP BY built_year 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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Return the names and classes of ships that do not have a captain?
| [query_database(**{'query': 'SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What are the names and flags of ships that do not have a captain with the rank of Midshipman?
| [query_database(**{'query': 'SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
|
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Find the city that hosted some events in the most recent year. What is the id of this city?
| [query_database(**{'query': 'SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Which cities served as a host city after 2010?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Find the venue of the competition "1994 FIFA World Cup qualification" which was hosted by "Nanjing ( Jiangsu )".
| [query_database(**{'query': 'SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.competition = "1994 FIFA World Cup qualification"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
IN which year did city "Taizhou ( Zhejiang )" serve as a host city?
| [query_database(**{'query': 'SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Which city has the highest temperature in February?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Feb > T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Please give me a list of cities whose regional population is over 8000000 or under 5000000.
| [query_database(**{'query': 'SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
List venues of all matches in the order of their dates starting from the most recent one.
| [query_database(**{'query': 'SELECT venue FROM MATCH ORDER BY date 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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
What are the GDP and population of the city that already served as a host more than once?
| [query_database(**{'query': 'SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City 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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
List all the types of forms.
| [query_database(**{'query': 'SELECT DISTINCT form_type_code FROM forms'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the payment method and phone of the party with email "[email protected]".
| [query_database(**{'query': 'SELECT payment_method_code , party_phone FROM parties WHERE party_email = "[email protected]"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
List all the name of organizations in order of the date formed.
| [query_database(**{'query': 'SELECT organization_name FROM organizations ORDER BY date_formed 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the last name of the latest contact individual of the organization "Labour Party".
| [query_database(**{'query': 'SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
How many services are there?
| [query_database(**{'query': 'SELECT count(*) FROM services'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the name of all the cities and states.
| [query_database(**{'query': 'SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the payment method code used by more than 3 parties.
| [query_database(**{'query': 'SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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58,
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28441,
22551,
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5549,
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8,
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9875,
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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
How many distinct payment methods are used by parties?
| [query_database(**{'query': 'SELECT count(DISTINCT payment_method_code) FROM parties'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Which state can address "6862 Kaitlyn Knolls" possibly be in?
| [query_database(**{'query': 'SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the last name of the individuals that have been contact individuals of an organization.
| [query_database(**{'query': 'SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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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 "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show the party and the number of drivers in each party.
| [query_database(**{'query': 'SELECT party , count(*) FROM driver GROUP BY party'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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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 "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show the party with drivers from Hartford and drivers older than 40.
| [query_database(**{'query': 'SELECT party FROM driver WHERE home_city = 'Hartford' AND age > 40'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
|
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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 "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show the types of schools that have two schools.
| [query_database(**{'query': 'SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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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 "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show the type of school and the number of buses for each type.
| [query_database(**{'query': 'SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
How many flights have a velocity larger than 200?
| [query_database(**{'query': 'SELECT count(*) FROM flight WHERE velocity > 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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
|
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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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
What is the velocity of the pilot named 'Thompson'?
| [query_database(**{'query': 'SELECT avg(velocity) FROM flight WHERE pilot = 'Thompson''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
|
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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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
What are the ids and names of the companies that operated more than one flight?
| [query_database(**{'query': 'SELECT T1.id , T1.name FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY T1.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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
How many airports haven't the pilot 'Thompson' driven an aircraft?
| [query_database(**{'query': 'SELECT count(*) FROM airport WHERE id NOT IN ( SELECT airport_id FROM flight WHERE pilot = 'Thompson' );'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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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 "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
how many airports are there in each country?
| [query_database(**{'query': 'SELECT count(*) , country FROM airport GROUP BY country'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Count the number of accounts.
| [query_database(**{'query': 'SELECT count(*) FROM Accounts'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Count the number of statements.
| [query_database(**{'query': 'SELECT count(*) FROM Statements'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show statement id, statement detail, account detail for accounts.
| [query_database(**{'query': 'SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the statement id and statement detail for the statement that has the most corresponding accounts?
| [query_database(**{'query': 'SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the ids and names for each of the documents?
| [query_database(**{'query': 'SELECT document_id , document_name FROM Documents'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Count the number of documents with the type code BK that correspond to each product id.
| [query_database(**{'query': 'SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
How many documents correspond with each project id?
| [query_database(**{'query': 'SELECT project_id , count(*) FROM Documents GROUP BY project_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are project ids of projects that have 2 or more corresponding documents?
| [query_database(**{'query': 'SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Return the code of the document type that is most common.
| [query_database(**{'query': 'SELECT document_type_code FROM Documents GROUP BY document_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the details for statements with the details 'Private Project', and what are the names of the corresponding documents?
| [query_database(**{'query': 'SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Return the description of the document type name 'Film'.
| [query_database(**{'query': 'SELECT document_type_description FROM Ref_document_types WHERE document_type_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
How many projects are there?
| [query_database(**{'query': 'SELECT count(*) FROM Projects'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Return the ids and details corresponding to projects for which there are more than two documents.
| [query_database(**{'query': 'SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Count the number of budget codes.
| [query_database(**{'query': 'SELECT count(*) FROM Ref_budget_codes'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Return the description of the budget type that has the code ORG.
| [query_database(**{'query': 'SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Give the ids of documents with expenses that have the budget code 'SF'.
| [query_database(**{'query': 'SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Give the ids for documents that have the budget description 'Government'.
| [query_database(**{'query': 'SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Give the budget type code that is most common among documents with expenses.
| [query_database(**{'query': 'SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the ids of documents with the type code CV that do not have expenses.
| [query_database(**{'query': 'SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
How many documents do not have any expense?
| [query_database(**{'query': 'SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the account details with the largest value or with value having char '5' in it?
| [query_database(**{'query': 'SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
What is the total number of hours for all projects?
| [query_database(**{'query': 'SELECT sum(hours) FROM projects'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
Find the average hours of all projects.
| [query_database(**{'query': 'SELECT avg(hours) FROM projects'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
List the name of all projects that are operated longer than the average working hours of all projects.
| [query_database(**{'query': 'SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
Find the name of the project for which a scientist whose name contains ‘Smith’ is assigned to.
| [query_database(**{'query': 'SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
Find the name of projects that require between 100 and 300 hours of work.
| [query_database(**{'query': 'SELECT name FROM projects WHERE hours BETWEEN 100 AND 300'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
List the names of all scientists sorted in alphabetical order.
| [query_database(**{'query': 'SELECT name FROM scientists ORDER 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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
What are the naems of all the projects, and how many scientists were assigned to each of them?
| [query_database(**{'query': 'SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
What are the names of the scientists, and how many projects are each of them working on?
| [query_database(**{'query': 'SELECT count(*) , T1.name FROM scientists AS T1 JOIN assignedto AS T2 ON T1.ssn = T2.scientist GROUP BY T1.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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
What are the names of scientists who are assigned to any project?
| [query_database(**{'query': 'SELECT T2.name FROM assignedto AS T1 JOIN scientists AS T2 ON T1.scientist = T2.ssn'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
What are the names of scientists who have not been assigned a project?
| [query_database(**{'query': 'SELECT Name FROM scientists WHERE ssn NOT IN (SELECT scientist FROM AssignedTo)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
Find the number of scientists who are not assigned to any project.
| [query_database(**{'query': 'SELECT count(*) FROM scientists WHERE ssn NOT IN (SELECT scientist FROM AssignedTo)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
### Question
List all the scientists' names, their projects' names, and the hours worked by that scientist on each project, in alphabetical order of project name, and then scientist name.
| [query_database(**{'query': 'SELECT T1.Name , T3.Name , T3.Hours FROM Scientists AS T1 JOIN AssignedTo AS T2 ON T1.SSN = T2.Scientist JOIN Projects AS T3 ON T2.Project = T3.Code ORDER BY T3.Name , T1.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 Scientists (
SSN int,
Name Char(30) not null,
Primary Key (SSN)
)
/*
1 example row:
SELECT * FROM scientists LIMIT 1;
SSN || Name
123234877 ||Michael Rogers
*/
CREATE TABLE Projects (
Code Char(4),
Name Char(50) not null,
Hours int,
Primary Key (Code)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Code || Name ||Hours
AeH1 ||Winds: Studying Bernoullis Principle || 156
*/
CREATE TABLE AssignedTo (
Scientist int not null,
Project char(4) not null,
Primary Key (Scientist, Project),
Foreign Key (Scientist) references Scientists (SSN),
Foreign Key (Project) references Projects (Code)
)
/*
1 example row:
SELECT * FROM assignedto LIMIT 1;
Scientist ||Project
123234877 || AeH1
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Give the name of the wine with the highest score.
| [query_database(**{'query': 'SELECT Name FROM WINE ORDER BY Score 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Find the names of all wines produced in 2008.
| [query_database(**{'query': 'SELECT Name FROM WINE WHERE 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
List the names and scores of all wines.
| [query_database(**{'query': 'SELECT Name , Score FROM WINE'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the prices of wines produced before the year of 2010?
| [query_database(**{'query': 'SELECT Price FROM WINE 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
List the names of all distinct wines that are made of red color grape.
| [query_database(**{'query': 'SELECT DISTINCT T2.Name FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "Red"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Count the number of wines produced at Robert Biale winery.
| [query_database(**{'query': 'SELECT count(*) FROM WINE WHERE Winery = "Robert Biale"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What is the average price of wines produced in appelations in Sonoma County?
| [query_database(**{'query': 'SELECT AVG(T2.Price) FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Sonoma"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Find the the grape whose white color grapes are used to produce wines with scores higher than 90.
| [query_database(**{'query': 'SELECT DISTINCT T1.Grape FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "White" AND T2.score > 90'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the wines that have prices higher than 50 and made of Red color grapes?
| [query_database(**{'query': 'SELECT T2.Name FROM Grapes AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "Red" AND T2.price > 50'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the numbers of wines for different grapes?
| [query_database(**{'query': 'SELECT count(*) , Grape FROM WINE GROUP BY Grape'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What is the average prices of wines for each each?
| [query_database(**{'query': 'SELECT avg(Price) , YEAR FROM WINE GROUP BY 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
List the names of all distinct wines in alphabetical order.
| [query_database(**{'query': 'SELECT DISTINCT Name FROM WINE ORDER 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What is the color of the grape whose wine products has the highest average price?
| [query_database(**{'query': 'SELECT T1.Color FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape GROUP BY T2.Grape ORDER BY AVG(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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the distinct wineries which produce wines costing between 50 and 100?
| [query_database(**{'query': 'SELECT DISTINCT Winery FROM WINE WHERE Price BETWEEN 50 AND 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Give the maximum price and score for wines produced in the appelation St. Helena.
| [query_database(**{'query': 'SELECT max(Price) , max(Score) FROM WINE WHERE Appelation = "St. Helena"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the average price and score of wines for each appelation?
| [query_database(**{'query': 'SELECT avg(Price) , avg(Score) , Appelation FROM WINE GROUP BY Appelation'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the countries for appelations with at most 3 wines?
| [query_database(**{'query': 'SELECT T1.County FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation GROUP BY T2.Appelation HAVING count(*) <= 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the names of wines produced before any wine from the Brander winery?
| [query_database(**{'query': 'SELECT Name FROM WINE WHERE YEAR < (SELECT min(YEAR) FROM WINE WHERE Winery = "Brander")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
Which 3 wineries produce the most wines made from white grapes?
| [query_database(**{'query': 'SELECT T2.Winery FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.GRAPE = T2.GRAPE WHERE T1.Color = "White" GROUP BY T2.Winery 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
|
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What are the grapes, appelations, and wines with scores above 93, sorted by Name?
| [query_database(**{'query': 'SELECT Grape , Appelation , Name FROM WINE WHERE Score > 93 ORDER 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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
### Question
What is the average price for wines not produced in Sonoma county?
| [query_database(**{'query': 'SELECT avg(price) FROM wine WHERE Appelation NOT IN (SELECT T1.Appelation FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = 'Sonoma')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "grapes" (
"ID" INTEGER PRIMARY KEY,
"Grape" TEXT UNIQUE,
"Color" TEXT
)
/*
1 example row:
SELECT * FROM grapes LIMIT 1;
ID || Grape ||Color
1 ||Barbera || Red
*/
CREATE TABLE "appellations" (
"No" INTEGER PRIMARY KEY,
"Appelation" TEXT UNIQUE,
"County" TEXT,
"State" TEXT,
"Area" TEXT,
"isAVA" TEXT
)
/*
1 example row:
SELECT * FROM appellations LIMIT 1;
No || Appelation ||County || State || Area ||isAVA
1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes
*/
CREATE TABLE "wine" (
"No" INTEGER,
"Grape" TEXT,
"Winery" TEXT,
"Appelation" TEXT,
"State" TEXT,
"Name" TEXT,
"Year" INTEGER,
"Price" INTEGER,
"Score" INTEGER,
"Cases" INTEGER,
"Drink" TEXT,
FOREIGN KEY (Grape) REFERENCES grapes(Grape),
FOREIGN KEY (Appelation) REFERENCES appellations(Appelation)
)
/*
1 example row:
SELECT * FROM wine LIMIT 1;
No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink
1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now
*/
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
Show the name, location, and number of platforms for all stations.
| [query_database(**{'query': 'SELECT name , LOCATION , number_of_platforms FROM station'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
What is the average and maximum number of total passengers for train stations in London or Glasgow?
| [query_database(**{'query': 'SELECT avg(total_passengers) , max(total_passengers) FROM station WHERE LOCATION = 'London' OR LOCATION = 'Glasgow''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
|
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
Show the location with most number of train stations.
| [query_database(**{'query': 'SELECT LOCATION FROM station GROUP BY LOCATION 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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
show the train name and station name for each train.
| [query_database(**{'query': 'SELECT T2.name , T3.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
Show the station name with at least two trains.
| [query_database(**{'query': 'SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id HAVING count(*) >= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
|
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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 "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
### Question
List the names and locations of all stations ordered by their yearly entry exit and interchange amounts.
| [query_database(**{'query': 'SELECT name , LOCATION FROM station ORDER BY Annual_entry_exit , Annual_interchanges'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "station" (
"Station_ID" int,
"Name" text,
"Annual_entry_exit" real,
"Annual_interchanges" real,
"Total_Passengers" real,
"Location" text,
"Main_Services" text,
"Number_of_Platforms" int,
PRIMARY KEY ("Station_ID")
)
/*
1 example row:
SELECT * FROM station LIMIT 1;
Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms
1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19
*/
CREATE TABLE "train" (
"Train_ID" int,
"Name" text,
"Time" text,
"Service" text,
PRIMARY KEY ("Train_ID")
)
/*
1 example row:
SELECT * FROM train LIMIT 1;
Train_ID || Name || Time ||Service
1 ||Ananthapuri Express ||17:15 || Daily
*/
CREATE TABLE "train_station" (
"Train_ID" int,
"Station_ID" int,
PRIMARY KEY ("Train_ID","Station_ID"),
FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"),
FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID")
)
/*
1 example row:
SELECT * FROM train_station LIMIT 1;
Train_ID ||Station_ID
1 || 1
*/
|
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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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country
1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_address_id` INTEGER NOT NULL,
`nickname` VARCHAR(80),
`first_name` VARCHAR(80),
`middle_name` VARCHAR(80),
`last_name` VARCHAR(80),
`date_of_birth` DATETIME,
`date_joined_staff` DATETIME,
`date_left_staff` DATETIME,
FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` )
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff
1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12
*/
CREATE TABLE `Vehicles` (
`vehicle_id` INTEGER PRIMARY KEY,
`vehicle_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM vehicles LIMIT 1;
vehicle_id ||vehicle_details
1 || Van
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_address_id` INTEGER NOT NULL,
`customer_status_code` VARCHAR(15) NOT NULL,
`date_became_customer` DATETIME,
`date_of_birth` DATETIME,
`first_name` VARCHAR(80),
`last_name` VARCHAR(80),
`amount_outstanding` DOUBLE NULL,
`email_address` VARCHAR(250),
`phone_number` VARCHAR(255),
`cell_mobile_phone_number` VARCHAR(255),
FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` )
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number
1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797
*/
CREATE TABLE `Customer_Payments` (
`customer_id` INTEGER NOT NULL,
`datetime_payment` DATETIME NOT NULL,
`payment_method_code` VARCHAR(10) NOT NULL,
`amount_payment` DOUBLE NULL,
PRIMARY KEY (`customer_id`,`datetime_payment`),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_payments LIMIT 1;
customer_id || datetime_payment ||payment_method_code ||amount_payment
11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93
*/
CREATE TABLE `Lessons` (
`lesson_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`lesson_status_code` VARCHAR(15) NOT NULL,
`staff_id` INTEGER,
`vehicle_id` INTEGER NOT NULL,
`lesson_date` DATETIME,
`lesson_time` VARCHAR(10),
`price` DOUBLE NULL,
FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ),
FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM lessons LIMIT 1;
lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price
1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0
*/
### Question
What are the ids of all vehicles?
| [query_database(**{'query': 'SELECT vehicle_id FROM Vehicles;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country
1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA
*/
CREATE TABLE `Staff` (
`staff_id` INTEGER PRIMARY KEY,
`staff_address_id` INTEGER NOT NULL,
`nickname` VARCHAR(80),
`first_name` VARCHAR(80),
`middle_name` VARCHAR(80),
`last_name` VARCHAR(80),
`date_of_birth` DATETIME,
`date_joined_staff` DATETIME,
`date_left_staff` DATETIME,
FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` )
)
/*
1 example row:
SELECT * FROM staff LIMIT 1;
staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff
1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12
*/
CREATE TABLE `Vehicles` (
`vehicle_id` INTEGER PRIMARY KEY,
`vehicle_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM vehicles LIMIT 1;
vehicle_id ||vehicle_details
1 || Van
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_address_id` INTEGER NOT NULL,
`customer_status_code` VARCHAR(15) NOT NULL,
`date_became_customer` DATETIME,
`date_of_birth` DATETIME,
`first_name` VARCHAR(80),
`last_name` VARCHAR(80),
`amount_outstanding` DOUBLE NULL,
`email_address` VARCHAR(250),
`phone_number` VARCHAR(255),
`cell_mobile_phone_number` VARCHAR(255),
FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` )
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number
1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797
*/
CREATE TABLE `Customer_Payments` (
`customer_id` INTEGER NOT NULL,
`datetime_payment` DATETIME NOT NULL,
`payment_method_code` VARCHAR(10) NOT NULL,
`amount_payment` DOUBLE NULL,
PRIMARY KEY (`customer_id`,`datetime_payment`),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_payments LIMIT 1;
customer_id || datetime_payment ||payment_method_code ||amount_payment
11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93
*/
CREATE TABLE `Lessons` (
`lesson_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`lesson_status_code` VARCHAR(15) NOT NULL,
`staff_id` INTEGER,
`vehicle_id` INTEGER NOT NULL,
`lesson_date` DATETIME,
`lesson_time` VARCHAR(10),
`price` DOUBLE NULL,
FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ),
FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM lessons LIMIT 1;
lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price
1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0
*/
|
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