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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
Group by ships by flag, and return number of ships that have each flag.
| [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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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 "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
List all ship names in the order of built year and 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 types of ships have both ships that have Panama Flags and Malta flags?
| [query_database(**{'query': 'SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 that have more than one captain?
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id GROUP BY t2.ship_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 "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 name of the ship that is commanded by the youngest captain?
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age 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
What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
What is the match id of the competition called "1994 FIFA World Cup qualification"?
| [query_database(**{'query': 'SELECT match_id FROM MATCH WHERE 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
Find the city that hosted the most events.
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city 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 "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 is the temperature of "Shanghai" city in January?
| [query_database(**{'query': 'SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 three largest cities in terms of regional population?
| [query_database(**{'query': 'SELECT city FROM city ORDER BY regional_population 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 "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 February, which city marks the highest temperature?
| [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
Which cities have lower temperature in March than in July and have been 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.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
Which cities have higher temperature in Feb than in Jun or have once 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.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
Which cities have regional population above 8000000 or below 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
What are the venues of all the matches? Sort them in the descending order of match date.
| [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
Which cities have served as host cities more than once? Return me their GDP and population.
| [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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
What are the different 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
What is the payment method code and party phone of the party with the 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
What are the names of organizations, ordered by the date they were formed, ascending?
| [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
What is the last name of the contact individual from the Labour party organization who was contacted most recently?
| [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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58,
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13922,
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1797,
29771,
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3600,
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
Count the number of services.
| [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
What are the names of all 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
What are the payment method codes that have been 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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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
Count the number of different payment method codes 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
Give the state corresponding to the line number building "6862 Kaitlyn Knolls".
| [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
What are the last names of individuals who have been contact individuals for 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 name of drivers in descending order of age.
| [query_database(**{'query': 'SELECT name FROM driver ORDER BY age 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 "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 home city where at least two drivers older than 40 are from.
| [query_database(**{'query': 'SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city 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 school name and driver name for all school buses.
| [query_database(**{'query': 'SELECT T2.school , T3.name FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id JOIN driver AS T3 ON T1.driver_id = T3.driver_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "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
How many drivers are from Hartford city or younger than 40?
| [query_database(**{'query': 'SELECT count(*) FROM driver WHERE home_city = 'Hartford' OR 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 "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
List the vehicle flight number, date and pilot of all the flights, ordered by altitude.
| [query_database(**{'query': 'SELECT vehicle_flight_number , date , pilot FROM flight ORDER BY altitude 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 "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 names and types of the companies that have ever operated a flight?
| [query_database(**{'query': 'SELECT T1.name , T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_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 "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 id, name and IATA code of the airport that had most number of flights?
| [query_database(**{'query': 'SELECT T1.id , T1.name , T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.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 "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
List the name of the pilots who have flied for both a company that mainly provide 'Cargo' services and a company that runs 'Catering services' activities.
| [query_database(**{'query': 'SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Cargo' INTERSECT SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Catering 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 "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
which countries have more than 2 airports?
| [query_database(**{'query': 'SELECT country FROM airport GROUP BY country 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 "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
Show all account ids and account details.
| [query_database(**{'query': 'SELECT account_id , account_details 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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60,
128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
List all statement ids and statement details.
| [query_database(**{'query': 'SELECT STATEMENT_ID , statement_details 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 all statement id and the number of accounts for each statement.
| [query_database(**{'query': 'SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY 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
Show the number of documents.
| [query_database(**{'query': 'SELECT count(*) 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
What are the type come, name, and description of the document that has either the name 'Noel CV' or 'King Book'?
| [query_database(**{'query': 'SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 names and ids of documents that have the type code BK?
| [query_database(**{'query': 'SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 names and dates for documents corresponding to project that has the details 'Graph Database project'?
| [query_database(**{'query': 'SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database 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 id of the project that has the fewest corresponding documents.
| [query_database(**{'query': 'SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC 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
How many documents are there of each type?
| [query_database(**{'query': 'SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE 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 codes corresponding to document types for which there are less than 3 documents?
| [query_database(**{'query': 'SELECT document_type_code FROM Documents GROUP BY document_type_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 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 codes, names, and descriptions of the different document types?
| [query_database(**{'query': 'SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 type name, type description, and date of creation for each document.
| [query_database(**{'query': 'SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE 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 details for each project?
| [query_database(**{'query': 'SELECT project_id , project_details 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
Give the details of the project with the document name 'King Book'.
| [query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 type codes and descriptions of each budget type?
| [query_database(**{'query': 'SELECT budget_type_code , budget_type_description 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
Count the number of documents with expenses.
| [query_database(**{'query': 'SELECT count(*) 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
Show the budget type code and description and the corresponding document id.
| [query_database(**{'query': 'SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE 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 budget type codes and the number of documents in each budget type.
| [query_database(**{'query': 'SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE 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 which don't have expense budgets?
| [query_database(**{'query': 'SELECT document_id FROM Documents 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
What are the ids of documents with letter 's' in the name with any expense budgets.
| [query_database(**{'query': 'SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE 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 dates for the documents with both 'GV' type and 'SF' type expenses?
| [query_database(**{'query': 'SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.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 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 total number of scientists.
| [query_database(**{'query': 'SELECT count(*) FROM scientists'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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),
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/*
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 total hours of 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
*/
|
6,475 | [
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128006,
882,
128007,
271,
33,
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374,
264,
8668,
315,
11470,
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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 distinct projects.
| [query_database(**{'query': 'SELECT count(DISTINCT name) 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 project that continues for the longest time.
| [query_database(**{'query': 'SELECT name FROM projects ORDER BY hours 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 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 and hours of project that has the most number of scientists.
| [query_database(**{'query': 'SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project 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 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 (
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)
/*
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 is the sum of hours for projects that scientists with the name Michael Rogers or Carol Smith are assigned to?
| [query_database(**{'query': 'SELECT sum(T2.hours) 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 = 'Michael Rogers' OR T3.name = 'Carol 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
What are the names of any scientists who worked on projects named 'Matter of Time' and 'A Puzzling Pattern'?
| [query_database(**{'query': 'SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 involved for the projects that require more than 300 hours.
| [query_database(**{'query': 'SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 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
Find the SSN and name of scientists who are assigned to the project with the longest hours.
| [query_database(**{'query': 'SELECT T3.ssn , T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.hours = (SELECT max(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
Select the project names which are not assigned yet.
| [query_database(**{'query': 'SELECT Name FROM Projects WHERE Code NOT IN (SELECT Project 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
What are the names of scientists who are not working on the project with the most hours?
| [query_database(**{'query': 'SELECT name FROM scientists EXCEPT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.hours = (SELECT max(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
What is the name of the project that requires the fewest number of hours, and the names of the scientists assigned to it?
| [query_database(**{'query': 'SELECT T2.name , T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.hours = (SELECT min(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 "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 winery at which the wine with the highest score was made?
| [query_database(**{'query': 'SELECT Winery 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
*/
|
6,524 | [
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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 and appelations of each wine?
| [query_database(**{'query': 'SELECT Grape , Appelation 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 areas and counties for all appelations?
| [query_database(**{'query': 'SELECT Area , County FROM APPELLATIONS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 with scores higher than 90?
| [query_database(**{'query': 'SELECT Name FROM WINE WHERE 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 distinct names of wines that have appellations in the North Coast area?
| [query_database(**{'query': 'SELECT DISTINCT T2.Name FROM APPELLATIONs AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.Area = "North Coast"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 appelations in Napa County.
| [query_database(**{'query': 'SELECT count(*) FROM APPELLATIONS WHERE County = "Napa"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 names and scores of wines made from white grapes.
| [query_database(**{'query': 'SELECT T2.Name , T2.Score FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "White"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 lower than 50 and have appelations in Monterey county?
| [query_database(**{'query': 'SELECT T2.Name FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" 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 average prices of wines for different years?
| [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
What are the names of wines, sorted 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 area for the appelation which produced the most wines prior to 2010?
| [query_database(**{'query': 'SELECT T1.Area FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation GROUP BY T2.Appelation HAVING T2.year < 2010 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 "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 distinct names of wines made before 2000 or after 2010.
| [query_database(**{'query': 'SELECT DISTINCT Name FROM WINE WHERE YEAR < 2000 OR 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
What are the maximum price and score of wines produced by St. Helena appelation?
| [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 maximum price and score of wines for each year?
| [query_database(**{'query': 'SELECT max(Price) , max(Score) , 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
Find the country of all appelations who have at most three 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
Give the names of wines with prices above any wine produced in 2006.
| [query_database(**{'query': 'SELECT Name FROM WINE WHERE Price > (SELECT max(Price) FROM WINE WHERE YEAR = 2006)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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, wineries and years for wines with price higher than 100, sorted by year?
| [query_database(**{'query': 'SELECT Grape , Winery , YEAR FROM WINE WHERE Price > 100 ORDER 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
What are the appelations for wines produced after 2008 but not in the Central Coast area?
| [query_database(**{'query': 'SELECT Appelation FROM WINE WHERE YEAR > 2008 EXCEPT SELECT Appelation FROM APPELLATIONS WHERE Area = "Central Coast"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 county that produces the most wines scoring higher than 90?
| [query_database(**{'query': 'SELECT T1.County FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T2.Score > 90 GROUP BY T1.County 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 "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 names and total passengers for all train stations not in London.
| [query_database(**{'query': 'SELECT name , total_passengers FROM station WHERE LOCATION != 'London''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "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 all locations that have train stations with at least 15 platforms and train stations with more than 25 total passengers.
| [query_database(**{'query': 'SELECT DISTINCT LOCATION FROM station WHERE number_of_platforms >= 15 AND total_passengers > 25'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "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 number of trains
| [query_database(**{'query': 'SELECT count(*) FROM train'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 all train names and times in stations in London in descending order by train time.
| [query_database(**{'query': 'SELECT T3.name , T3.time 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 WHERE T2.location = 'London' ORDER BY T3.time 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 "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 station names without any trains.
| [query_database(**{'query': 'SELECT name FROM station WHERE station_id NOT IN (SELECT station_id FROM train_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 `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
List all vehicle id
| [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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
Show the detail of vehicle with id 1.
| [query_database(**{'query': 'SELECT vehicle_details FROM Vehicles WHERE vehicle_id = 1;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 is the birthday of the staff member with first name as Janessa and last name as Sawayn?
| [query_database(**{'query': 'SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
When did the staff member with first name as Janessa and last name as Sawayn leave the company?
| [query_database(**{'query': 'SELECT date_left_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 is the nickname of staff with first name as Janessa and last name as Sawayn?
| [query_database(**{'query': 'SELECT nickname FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
Which city does staff with first name as Janessa and last name as Sawayn live?
| [query_database(**{'query': 'SELECT T1.city FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
How long is the total lesson time took by customer with first name as Rylan and last name as Goodwin?
| [query_database(**{'query': 'SELECT sum(T1.lesson_time) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
How many staff live in state Georgia?
| [query_database(**{'query': 'SELECT count(*) FROM Addresses WHERE state_province_county = "Georgia";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
*/
|
Subsets and Splits