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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
What are the first names of the teachers who teach grade 1?
| [query_database(**{'query': 'SELECT DISTINCT T2.firstname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE grade = 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 "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
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CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Which teachers teach in classroom 109? Give me their last names.
| [query_database(**{'query': 'SELECT lastname FROM teachers WHERE classroom = 109'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Show each student's first name and last name.
| [query_database(**{'query': 'SELECT DISTINCT firstname , lastname FROM list'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Which are the first and last names of the students taught by MARROTTE KIRK?
| [query_database(**{'query': 'SELECT T1.firstname , T1.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "MARROTTE" AND T2.lastname = "KIRK"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
What are the last names of the teachers who teach the student called GELL TAMI?
| [query_database(**{'query': 'SELECT T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "GELL" AND T1.lastname = "TAMI"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Find the number of students taught by the teacher KAWA GORDON.
| [query_database(**{'query': 'SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "KAWA" AND T2.lastname = "GORDON"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Find the number of teachers who teach the student called CHRISSY NABOZNY.
| [query_database(**{'query': 'SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "CHRISSY" AND T1.lastname = "NABOZNY"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
What are the first and last names of the first-grade students who are NOT taught by teacher OTHA MOYER?
| [query_database(**{'query': 'SELECT DISTINCT T1.firstname , T1.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.grade = 1 EXCEPT SELECT T1.firstname , T1.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "OTHA" AND T2.lastname = "MOYER"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
For each grade, return the grade number, the number of classrooms used for the grade, and the total number of students enrolled in the grade.
| [query_database(**{'query': 'SELECT grade , count(DISTINCT classroom) , count(*) FROM list GROUP BY grade'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Find the classroom that the most students use.
| [query_database(**{'query': 'SELECT classroom FROM list GROUP BY classroom 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 "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
For each grade 0 classroom, return the classroom number and the count of students.
| [query_database(**{'query': 'SELECT classroom , count(*) FROM list WHERE grade = "0" GROUP BY classroom'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
### Question
Which teacher teaches the most students? Give me the first name and last name of the teacher.
| [query_database(**{'query': 'SELECT T2.firstname , T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom GROUP BY T2.firstname , T2.lastname ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "list" (
"LastName" TEXT,
"FirstName" TEXT,
"Grade" INTEGER,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM list LIMIT 1;
LastName ||FirstName ||Grade ||Classroom
CAR || MAUDE || 2 || 101
*/
CREATE TABLE "teachers" (
"LastName" TEXT,
"FirstName" TEXT,
"Classroom" INTEGER,
PRIMARY KEY(LastName, FirstName)
)
/*
1 example row:
SELECT * FROM teachers LIMIT 1;
LastName ||FirstName ||Classroom
MACROSTIE || MIN || 101
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 2
*/
### Question
What are the headquarters and industries of all companies?
| [query_database(**{'query': 'SELECT Headquarters , Industry FROM company'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 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 "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 2
*/
### Question
What is the headquarter of the company with the largest sales?
| [query_database(**{'query': 'SELECT Headquarters FROM company ORDER BY Sales_in_Billion 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 "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 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 "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 2
*/
### Question
Show the headquarters that have both companies in banking industry and companies in oil and gas industry.
| [query_database(**{'query': 'SELECT Headquarters FROM company WHERE Industry = "Banking" INTERSECT SELECT Headquarters FROM company WHERE Industry = "Oil and gas"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 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 "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 2
*/
### Question
Show the names of companies and the number of employees they have
| [query_database(**{'query': 'SELECT T3.Name , COUNT(*) FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID GROUP BY T3.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 "people" (
"People_ID" int,
"Age" int,
"Name" text,
"Nationality" text,
"Graduation_College" text,
PRIMARY KEY ("People_ID")
)
/*
1 example row:
SELECT * FROM people LIMIT 1;
People_ID ||Age || Name || Nationality ||Graduation_College
1 || 27 ||Reggie Lewis ||United States || Northeastern
*/
CREATE TABLE "company" (
"Company_ID" real,
"Name" text,
"Headquarters" text,
"Industry" text,
"Sales_in_Billion" real,
"Profits_in_Billion" real,
"Assets_in_Billion" real,
"Market_Value_in_Billion" real,
PRIMARY KEY ("Company_ID")
)
/*
1 example row:
SELECT * FROM company LIMIT 1;
Company_ID || Name ||Headquarters || Industry ||Sales_in_Billion ||Profits_in_Billion ||Assets_in_Billion ||Market_Value_in_Billion
1.0 ||ExxonMobil || USA ||Oil and gas || 433.5 || 41.1 || 331.1 || 407.4
*/
CREATE TABLE "employment" (
"Company_ID" int,
"People_ID" int,
"Year_working" int,
PRIMARY KEY ("Company_ID","People_ID"),
FOREIGN KEY ("Company_ID") REFERENCES `company`("Company_ID"),
FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
)
/*
1 example row:
SELECT * FROM employment LIMIT 1;
Company_ID ||People_ID ||Year_working
11 || 3 || 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 "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
Count the number of films.
| [query_database(**{'query': 'SELECT count(*) FROM film'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
What are the low and high estimates of film markets?
| [query_database(**{'query': 'SELECT Low_Estimate , High_Estimate FROM film_market_estimation'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
What are the maximum and minimum number of cities in all markets.
| [query_database(**{'query': 'SELECT max(Number_cities) , min(Number_cities) FROM market'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
List all countries of markets in ascending alphabetical order.
| [query_database(**{'query': 'SELECT Country FROM market ORDER BY Country 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 "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
Please show the titles of films and the types of market estimations.
| [query_database(**{'query': 'SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_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 "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
What is the average number of cities of markets with low film market estimate bigger than 10000?
| [query_database(**{'query': 'SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T1.Low_Estimate > 10000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
Please list the years of film market estimations when the market is in country "Japan" in descending order.
| [query_database(**{'query': 'SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year 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 "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
List the name of film studio that have the most number of films.
| [query_database(**{'query': 'SELECT Studio FROM film GROUP BY Studio 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 "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
List the title of films that do not have any market estimation.
| [query_database(**{'query': 'SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
Find the titles and studios of the films that are produced by some film studios that contained the word "Universal".
| [query_database(**{'query': 'SELECT title , Studio FROM film WHERE Studio LIKE "%Universal%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
List the studios which average gross is above 4500000.
| [query_database(**{'query': 'SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
### Question
What are the titles and directors of the films were never presented in China?
| [query_database(**{'query': 'SELECT title , director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id = T2.Market_ID WHERE country = 'China')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "film" (
"Film_ID" int,
"Title" text,
"Studio" text,
"Director" text,
"Gross_in_dollar" int,
PRIMARY KEY ("Film_ID")
)
/*
1 example row:
SELECT * FROM film LIMIT 1;
Film_ID || Title || Studio || Director ||Gross_in_dollar
1 ||ET the Extra-Terrestrial ||Universal ||Steven Spielberg || 435110554
*/
CREATE TABLE "market" (
"Market_ID" int,
"Country" text,
"Number_cities" int,
PRIMARY KEY ("Market_ID")
)
/*
1 example row:
SELECT * FROM market LIMIT 1;
Market_ID ||Country ||Number_cities
1 || Japan || 209
*/
CREATE TABLE "film_market_estimation" (
"Estimation_ID" int,
"Low_Estimate" real,
"High_Estimate" real,
"Film_ID" int,
"Type" text,
"Market_ID" int,
"Year" int,
PRIMARY KEY ("Estimation_ID"),
FOREIGN KEY ("Film_ID") REFERENCES film("Film_ID"),
FOREIGN KEY ("Market_ID") REFERENCES market("Market_ID")
)
/*
1 example row:
SELECT * FROM film_market_estimation LIMIT 1;
Estimation_ID ||Low_Estimate ||High_Estimate ||Film_ID || Type ||Market_ID ||Year
1 || 80000.0 || 80400.0 || 1 ||Mass suicide murder || 1 ||1945
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show all calendar dates and day Numbers.
| [query_database(**{'query': 'SELECT calendar_date , day_Number FROM Ref_calendar'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
List all document type codes and document type names.
| [query_database(**{'query': 'SELECT document_type_code , document_type_name 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What is the document type code for document type "Paper"?
| [query_database(**{'query': 'SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show the number of documents with document type code CV or BK.
| [query_database(**{'query': 'SELECT count(*) FROM All_documents WHERE document_type_code = "CV" OR 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What is the day Number and date of all the documents?
| [query_database(**{'query': 'SELECT T2.day_Number , T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored = T2.calendar_date'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show the number of locations.
| [query_database(**{'query': 'SELECT count(*) FROM Ref_locations'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What are the name and description for location code x?
| [query_database(**{'query': 'SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Count the total number of roles listed.
| [query_database(**{'query': 'SELECT count(*) FROM ROLES'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Find the name and description of the role with code "MG".
| [query_database(**{'query': 'SELECT role_name , role_description FROM ROLES WHERE role_code = "MG"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Find the number of employees we have.
| [query_database(**{'query': 'SELECT count(*) FROM Employees'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What is the id for the employee called Ebba?
| [query_database(**{'query': 'SELECT employee_ID FROM Employees WHERE employee_name = "Ebba"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show all role codes and the number of employees in each role.
| [query_database(**{'query': 'SELECT role_code , count(*) FROM Employees GROUP BY role_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show all role codes with at least 3 employees.
| [query_database(**{'query': 'SELECT role_code FROM Employees GROUP BY role_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What is the role name and role description for employee called Ebba?
| [query_database(**{'query': 'SELECT T2.role_name , T2.role_description FROM Employees AS T1 JOIN ROLES AS T2 ON T1.role_code = T2.role_code WHERE T1.employee_name = "Ebba"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show the employee ids for all employees with role name "Human Resource" or "Manager".
| [query_database(**{'query': 'SELECT T1.employee_id FROM Employees AS T1 JOIN ROLES AS T2 ON T1.role_code = T2.role_code WHERE T2.role_name = "Human Resource" OR T2.role_name = "Manager"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Show the location name for document "Robin CV".
| [query_database(**{'query': 'SELECT T3.location_name FROM All_documents AS T1 JOIN Document_locations AS T2 ON T1.document_id = T2.document_id JOIN Ref_locations AS T3 ON T2.location_code = T3.location_code WHERE T1.document_name = "Robin CV"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Find the starting date and ending data in location for the document named "Robin CV".
| [query_database(**{'query': 'SELECT T1.date_in_location_from , T1.date_in_locaton_to FROM Document_locations AS T1 JOIN All_documents AS T2 ON T1.document_id = T2.document_id WHERE T2.document_name = "Robin CV"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Find the code of the location with the largest number of documents.
| [query_database(**{'query': 'SELECT location_code FROM Document_locations GROUP BY location_code ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What are the name and code of the location with the smallest number of documents?
| [query_database(**{'query': 'SELECT T2.location_name , T1.location_code FROM Document_locations AS T1 JOIN Ref_locations AS T2 ON T1.location_code = T2.location_code GROUP BY T1.location_code 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What are the id of each employee and the number of document destruction authorised by that employee?
| [query_database(**{'query': 'SELECT Destruction_Authorised_by_Employee_ID , count(*) FROM Documents_to_be_destroyed GROUP BY Destruction_Authorised_by_Employee_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Which employees do not authorize destruction for any document? Give me their employee ids.
| [query_database(**{'query': 'SELECT employee_id FROM Employees EXCEPT SELECT Destruction_Authorised_by_Employee_ID FROM Documents_to_be_destroyed'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
What are the ids of all the employees who have destroyed documents?
| [query_database(**{'query': 'SELECT DISTINCT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
### Question
Which employees have either destroyed a document or made an authorization to do so? Return their employee ids.
| [query_database(**{'query': 'SELECT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed UNION SELECT Destruction_Authorised_by_Employee_ID FROM Documents_to_be_destroyed'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
CV || CV ||
*/
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME NOT NULL,
Day_Number INTEGER,
PRIMARY KEY (Calendar_Date)
)
/*
1 example row:
SELECT * FROM ref_calendar LIMIT 1;
Calendar_Date ||Day_Number
1972-03-31 09:47:22 || 5
*/
CREATE TABLE Ref_Locations (
Location_Code CHAR(15) NOT NULL,
Location_Name VARCHAR(255) NOT NULL,
Location_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Location_Code)
)
/*
1 example row:
SELECT * FROM ref_locations LIMIT 1;
Location_Code ||Location_Name ||Location_Description
b || Brazil ||
*/
CREATE TABLE Roles (
Role_Code CHAR(15) NOT NULL,
Role_Name VARCHAR(255),
Role_Description VARCHAR(255),
PRIMARY KEY (Role_Code)
)
/*
1 example row:
SELECT * FROM roles LIMIT 1;
Role_Code ||Role_Name || Role_Description
MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti.
*/
CREATE TABLE All_Documents (
Document_ID INTEGER NOT NULL,
Date_Stored DATETIME,
Document_Type_Code CHAR(15) NOT NULL,
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date)
)
/*
1 example row:
SELECT * FROM all_documents LIMIT 1;
Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details
7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None
*/
CREATE TABLE Employees (
Employee_ID INTEGER NOT NULL,
Role_Code CHAR(15) NOT NULL,
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1) NOT NULL,
Date_of_Birth DATETIME NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Employee_ID),
FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code)
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details
25 || HR || Leo || ||1973-02-15 17:16:00 || None
*/
CREATE TABLE Document_Locations (
Document_ID INTEGER NOT NULL,
Location_Code CHAR(15) NOT NULL,
Date_in_Location_From DATETIME NOT NULL,
Date_in_Locaton_To DATETIME,
PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From),
FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code),
FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM document_locations LIMIT 1;
Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To
7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38
*/
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER NOT NULL,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID),
FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date),
FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_to_be_destroyed LIMIT 1;
Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details
7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
How many students are there?
| [query_database(**{'query': 'SELECT count(*) FROM student'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the last names of the members of the club "Bootup Baltimore".
| [query_database(**{'query': 'SELECT t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
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/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
How many members does the club "Tennis Club" has?
| [query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Tennis Club"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
How many clubs does "Linda Smith" belong to?
| [query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.fname = "Linda" AND t3.lname = "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 Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find all the female members of club "Bootup Baltimore". Show the first name and last name.
| [query_database(**{'query': 'SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.sex = "F"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find all members of "Bootup Baltimore" whose major is "600". Show the first name and last name.
| [query_database(**{'query': 'SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.major = "600"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the name of the club that has the most female students.
| [query_database(**{'query': 'SELECT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.sex = "F" GROUP BY t1.clubname 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 Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the description of the club "Pen and Paper Gaming".
| [query_database(**{'query': 'SELECT clubdesc FROM club WHERE clubname = "Pen and Paper Gaming"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the location of the club "Pen and Paper Gaming".
| [query_database(**{'query': 'SELECT clublocation FROM club WHERE clubname = "Pen and Paper Gaming"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the name of all the clubs at "AKW".
| [query_database(**{'query': 'SELECT clubname FROM club WHERE clublocation = "AKW"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
What are the first and last name of the president of the club "Bootup Baltimore"?
| [query_database(**{'query': 'SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t2.position = "President"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
How many different roles are there in the club "Bootup Baltimore"?
| [query_database(**{'query': 'SELECT count(DISTINCT t2.position) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid WHERE t1.clubname = "Bootup Baltimore"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
How many members of club "Bootup Baltimore" are younger than 18?
| [query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age < 18'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Find the names of the clubs that have at least a member from the city with city code "HOU".
| [query_database(**{'query': 'SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.city_code = "HOU"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
List the clubs having "Davis Steven" as a member.
| [query_database(**{'query': 'SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.fname = "Davis" AND t3.lname = "Steven"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
What is the average age of the members of the club "Bootup Baltimore"?
| [query_database(**{'query': 'SELECT avg(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
### Question
Retrieve the average age of members of the club "Tennis Club".
| [query_database(**{'query': 'SELECT avg(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Tennis Club"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Club (
ClubID INTEGER PRIMARY KEY,
ClubName VARCHAR(40),
ClubDesc VARCHAR(1024),
ClubLocation VARCHAR(40)
)
/*
1 example row:
SELECT * FROM club LIMIT 1;
ClubID || ClubName || ClubDesc ||ClubLocation
1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW
*/
CREATE TABLE Member_of_club (
StuID INTEGER,
ClubID INTEGER,
Position VARCHAR(40),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(ClubID) REFERENCES Club(ClubID)
)
/*
1 example row:
SELECT * FROM member_of_club LIMIT 1;
StuID ||ClubID || Position
1001 || 1 ||President
*/
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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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
List the project details of the project both producing patent and paper as outcomes.
| [query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Paper' INTERSECT SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Patent''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
List from which date and to which date these staff work: project staff of the project which hires the most staffs
| [query_database(**{'query': 'SELECT date_from , date_to FROM Project_Staff WHERE project_id IN( SELECT project_id FROM Project_Staff GROUP BY project_id ORDER BY count(*) DESC LIMIT 1 ) UNION SELECT date_from , date_to FROM Project_Staff WHERE role_code = 'leader''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
What is the organisation type and id of the organisation which has the most number of research staff?
| [query_database(**{'query': 'SELECT T1.organisation_type , T1.organisation_id FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
Find out the send dates of the documents with the grant amount of more than 5000 were granted by organisation type described
| [query_database(**{'query': 'SELECT T1.sent_date FROM documents AS T1 JOIN Grants AS T2 ON T1.grant_id = T2.grant_id JOIN Organisations AS T3 ON T2.organisation_id = T3.organisation_id JOIN organisation_Types AS T4 ON T3.organisation_type = T4.organisation_type WHERE T2.grant_amount > 5000 AND T4.organisation_type_description = 'Research''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
List the project details of the projects which did not hire any staff for a researcher role.
| [query_database(**{'query': 'SELECT project_details FROM Projects WHERE project_id NOT IN ( SELECT project_id FROM Project_Staff WHERE role_code = 'researcher' )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
When do all the researcher role staff start to work, and when do they stop working?
| [query_database(**{'query': 'SELECT date_from , date_to FROM Project_Staff WHERE role_code = 'researcher''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
How many different roles are there on the project staff?
| [query_database(**{'query': 'SELECT count(DISTINCT role_code) FROM Project_Staff'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
How many staff does each project has? List the project id and the number in an ascending order.
| [query_database(**{'query': 'SELECT T1.project_id , count(*) FROM Project_Staff AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id ORDER BY count(*) 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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
When did the first staff for the projects started working?
| [query_database(**{'query': 'SELECT date_from FROM Project_Staff ORDER BY date_from 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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
What are the details and id of the project with the most outcomes?
| [query_database(**{'query': 'SELECT T1.project_details , T1.project_id FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
Show the role description and the id of the project staff involved in most number of project outcomes?
| [query_database(**{'query': 'SELECT T1.role_description , T2.staff_id FROM Staff_Roles AS T1 JOIN Project_Staff AS T2 ON T1.role_code = T2.role_code JOIN Project_outcomes AS T3 ON T2.project_id = T3.project_id GROUP BY T2.staff_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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
For grants with both documents described as 'Regular' and documents described as 'Initial Application', list its start date.
| [query_database(**{'query': 'SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Regular' INTERSECT SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Initial Application''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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58,
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
Find the organisation type description of the organisation detailed as 'quo'.
| [query_database(**{'query': 'SELECT T1.organisation_type_description FROM organisation_Types AS T1 JOIN Organisations AS T2 ON T1.organisation_type = T2.organisation_type WHERE T2.organisation_details = 'quo''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
|
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
How many Patent outcomes are generated from all the projects?
| [query_database(**{'query': 'SELECT count(*) FROM Project_outcomes WHERE outcome_code = 'Patent''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
How many project members were leaders or started working before '1989-04-24 23:51:54'?
| [query_database(**{'query': 'SELECT count(*) FROM Project_Staff WHERE role_code = 'leader' OR date_from < '1989-04-24 23:51:54''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
What are the result description of the project whose detail is 'sint'?
| [query_database(**{'query': 'SELECT T1.outcome_description FROM Research_outcomes AS T1 JOIN Project_outcomes AS T2 ON T1.outcome_code = T2.outcome_code JOIN Projects AS T3 ON T2.project_id = T3.project_id WHERE T3.project_details = 'sint''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
What is the id of the organization with the maximum number of outcomes and how many outcomes are there?
| [query_database(**{'query': 'SELECT T1.organisation_id , count(*) FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id GROUP BY T1.organisation_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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
List the research staff details, and order in ascending order.
| [query_database(**{'query': 'SELECT staff_details FROM Research_Staff ORDER BY staff_details 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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
How many tasks does each project have? List the task count and the project detail.
| [query_database(**{'query': 'SELECT count(*) , T1.project_details FROM Projects AS T1 JOIN Tasks AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
`employer_organisation_id` INTEGER NOT NULL,
`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
`role_code` VARCHAR(10) PRIMARY KEY,
`role_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
`task_id` INTEGER PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
### Question
What are the descriptions of all the project outcomes?
| [query_database(**{'query': 'SELECT T1.outcome_description FROM Research_outcomes AS T1 JOIN Project_outcomes AS T2 ON T1.outcome_code = T2.outcome_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 `Document_Types` (
`document_type_code` VARCHAR(10) PRIMARY KEY,
`document_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM document_types LIMIT 1;
document_type_code ||document_description
APP || Initial Application
*/
CREATE TABLE `Documents` (
`document_id` INTEGER PRIMARY KEY,
`document_type_code` VARCHAR(10),
`grant_id` INTEGER NOT NULL,
`sent_date` DATETIME NOT NULL,
`response_received_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ),
FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` )
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details
1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 ||
*/
CREATE TABLE `Grants` (
`grant_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0,
`grant_start_date` DATETIME NOT NULL,
`grant_end_date` DATETIME NOT NULL,
`other_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM grants LIMIT 1;
grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details
1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et
*/
CREATE TABLE `Organisation_Types` (
`organisation_type` VARCHAR(10) PRIMARY KEY,
`organisation_type_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM organisation_types LIMIT 1;
organisation_type ||organisation_type_description
RES || Research
*/
CREATE TABLE `Organisations` (
`organisation_id` INTEGER PRIMARY KEY,
`organisation_type` VARCHAR(10) NOT NULL,
`organisation_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` )
)
/*
1 example row:
SELECT * FROM organisations LIMIT 1;
organisation_id ||organisation_type ||organisation_details
1 || RES || et
*/
CREATE TABLE `Project_Outcomes` (
`project_id` INTEGER NOT NULL,
`outcome_code` VARCHAR(10) NOT NULL,
`outcome_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` )
)
/*
1 example row:
SELECT * FROM project_outcomes LIMIT 1;
project_id ||outcome_code ||outcome_details
4 || Paper || None
*/
CREATE TABLE `Project_Staff` (
`staff_id` DOUBLE PRIMARY KEY,
`project_id` INTEGER NOT NULL,
`role_code` VARCHAR(10) NOT NULL,
`date_from` DATETIME,
`date_to` DATETIME,
`other_details` VARCHAR(255),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` )
)
/*
1 example row:
SELECT * FROM project_staff LIMIT 1;
staff_id ||project_id ||role_code || date_from || date_to ||other_details
0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None
*/
CREATE TABLE `Projects` (
`project_id` INTEGER PRIMARY KEY,
`organisation_id` INTEGER NOT NULL,
`project_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
project_id ||organisation_id ||project_details
1 || 15 || porro
*/
CREATE TABLE `Research_Outcomes` (
`outcome_code` VARCHAR(10) PRIMARY KEY,
`outcome_description` VARCHAR(255) NOT NULL
)
/*
1 example row:
SELECT * FROM research_outcomes LIMIT 1;
outcome_code || outcome_description
Paper ||Published Research Paper
*/
CREATE TABLE `Research_Staff` (
`staff_id` INTEGER PRIMARY KEY,
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`staff_details` VARCHAR(255) NOT NULL,
FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` )
)
/*
1 example row:
SELECT * FROM research_staff LIMIT 1;
staff_id ||employer_organisation_id ||staff_details
1 || 1 || quo
*/
CREATE TABLE `Staff_Roles` (
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)
/*
1 example row:
SELECT * FROM staff_roles LIMIT 1;
role_code ||role_description
leader || Project Leader
*/
CREATE TABLE `Tasks` (
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`project_id` INTEGER NOT NULL,
`task_details` VARCHAR(255) NOT NULL,
`eg Agree Objectives` VARCHAR(1),
FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` )
)
/*
1 example row:
SELECT * FROM tasks LIMIT 1;
task_id ||project_id ||task_details ||eg Agree Objectives
1 || 1 || a || None
*/
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
How many friends does Dan have?
| [query_database(**{'query': 'SELECT count(T2.friend) FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T1.name = 'Dan''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
How many friends does Dan have?
| [query_database(**{'query': 'SELECT count(T2.friend) FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T1.name = 'Dan''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What is the average age for all person?
| [query_database(**{'query': 'SELECT avg(age) FROM Person'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
How many different cities do people originate from?
| [query_database(**{'query': 'SELECT count(DISTINCT city) FROM Person'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
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Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What is the name of all the people who are older than at least one engineer? Order them by age.
| [query_database(**{'query': 'SELECT name FROM Person WHERE age > (SELECT min(age) FROM person WHERE job = 'engineer') ORDER BY age'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
|
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What are the names and job titles of every person ordered alphabetically by name?
| [query_database(**{'query': 'SELECT name , job FROM Person 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 Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What is the name and age of every male? Order the results by age.
| [query_database(**{'query': 'SELECT name FROM Person WHERE gender = 'male' ORDER BY age'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
Find the name and age of the person who is a friend of Dan or Alice.
| [query_database(**{'query': 'SELECT DISTINCT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Dan' OR T2.friend = 'Alice''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What are the names of every person who has a friend over 40 and under 30?
| [query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend IN (SELECT name FROM Person WHERE age > 40) INTERSECT SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend IN (SELECT name FROM Person WHERE age < 30)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
Find the name of the person who has no student friends.
| [query_database(**{'query': 'SELECT name FROM person EXCEPT SELECT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.job = 'student''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
What are the names of everybody who has exactly one friend?
| [query_database(**{'query': 'SELECT name FROM PersonFriend GROUP BY name 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 Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
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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 Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
### Question
Find the name of persons who are friends with Bob.
| [query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Bob''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Person (
name varchar(20) PRIMARY KEY,
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
/*
1 example row:
SELECT * FROM person LIMIT 1;
name ||age || city ||gender || job
Alice || 25 ||new york city ||female ||student
*/
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER,
FOREIGN KEY (name) REFERENCES Person(name),
FOREIGN KEY (friend) REFERENCES Person(name)
)
/*
1 example row:
SELECT * FROM personfriend LIMIT 1;
name ||friend ||year
Alice || Bob || 10
*/
|
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