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truongpdd
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BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 students study under the teacher named OTHA MOYER? Give me the first and last names of the students.
[query_database(**{'query': '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 Which teachers teach the student named EVELINA BROMLEY? Give me the first and last name of the teachers.
[query_database(**{'query': 'SELECT T2.firstname , T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "EVELINA" AND T1.lastname = "BROMLEY"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,067
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of students the teacher LORIA ONDERSMA teaches.
[query_database(**{'query': 'SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "LORIA" AND T2.lastname = "ONDERSMA"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,071
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many students are taught by teacher TARRING LEIA?
[query_database(**{'query': 'SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "TARRING" AND T2.lastname = "LEIA"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,075
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 MADLOCK RAY.
[query_database(**{'query': 'SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "MADLOCK" AND T1.lastname = "RAY"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,079
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 students in third grade are not taught by teacher COVIN JEROME? Give me the last names of the students.
[query_database(**{'query': 'SELECT DISTINCT T1.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.grade = 3 AND T2.firstname != "COVIN" AND T2.lastname != "JEROME"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,083
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 classroom, show the classroom number and count the number of distinct grades that use the room.
[query_database(**{'query': 'SELECT classroom , count(DISTINCT grade) FROM list 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 */
4,087
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 classroom, show the classroom number and find how many students are using it.
[query_database(**{'query': 'SELECT classroom , count(*) FROM list 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 */
4,091
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 fourth-grade classroom, show the classroom number and the total number of students using it.
[query_database(**{'query': 'SELECT classroom , count(*) FROM list WHERE grade = "4" 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 */
4,095
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many students does one classroom have?
[query_database(**{'query': 'SELECT count(*) , classroom FROM list 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 "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 in the banking or retailing industry?
[query_database(**{'query': 'SELECT Name FROM company WHERE Industry = "Banking" OR Industry = "Retailing"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,103
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most common headquarter for companies.
[query_database(**{'query': 'SELECT Headquarters FROM company GROUP BY Headquarters 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 "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 */
4,107
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of companies and that of employees in descending order of number of years working for that employee.
[query_database(**{'query': 'SELECT T3.Name , T2.Name 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 ORDER BY T1.Year_working'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,111
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 list the names of the companies with more than 200 sales in the descending order of sales and profits.
[query_database(**{'query': 'SELECT name FROM company WHERE Sales_in_Billion > 200 ORDER BY Sales_in_Billion , Profits_in_Billion 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 "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 */
4,115
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different film Directors?
[query_database(**{'query': 'SELECT DISTINCT Director 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 Return the low and high estimates for all 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 */
4,123
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the maximum and minimum number of cities across 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 */
4,127
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 countries for each market, ordered alphabetically?
[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 */
4,131
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of films and corresponding 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 */
4,135
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give the average number of cities within markets that had a low market estimation larger 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 */
4,139
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 years of film market estimation for the market of Japan, ordered by year descending?
[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 */
4,143
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of teh studio that created the most 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 */
4,147
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of films that do not have a film 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 */
4,151
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 studios of films that have been produced by a studio whose name contains "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 */
4,155
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which studios have an average gross of over 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 */
4,159
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the titles and directors of films that were never in the market of 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 */
4,163
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the 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 */
4,167
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the 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 */
4,171
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 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 */
4,175
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 When was the document named "Marry CV" stored? Give me the date.
[query_database(**{'query': 'SELECT date_stored FROM All_documents WHERE Document_name = "Marry 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 */
4,179
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 document type name of the document named "How to read a book".
[query_database(**{'query': 'SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code = T2.document_type_code WHERE T1.document_name = "How to read a book"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( Document_Type_Code CHAR(15) NOT NULL, Document_Type_Name VARCHAR(255) NOT NULL, Document_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Document_Type_Code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; Document_Type_Code ||Document_Type_Name ||Document_Type_Description 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 */
4,183
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the location codes and location names?
[query_database(**{'query': 'SELECT location_code , location_name 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 */
4,187
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 code of the country "Canada".
[query_database(**{'query': 'SELECT location_code FROM Ref_locations WHERE location_name = "Canada"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,191
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the role codes, role names, and role descriptions?
[query_database(**{'query': 'SELECT role_code , role_name , role_description 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 */
4,195
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 description of the role named "Proof Reader"?
[query_database(**{'query': 'SELECT role_description FROM ROLES WHERE role_name = "Proof Reader"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,199
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, role code, and date of birth of the employee named 'Armani'?
[query_database(**{'query': 'SELECT employee_name , role_code , date_of_birth FROM Employees WHERE employee_Name = 'Armani''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,203
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the role with code "HR"? Find their names.
[query_database(**{'query': 'SELECT employee_name FROM Employees WHERE role_code = "HR"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,207
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 role that have the most employees.
[query_database(**{'query': 'SELECT role_code FROM Employees GROUP BY role_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 */
4,211
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 with the smallest number of employees? Find the role codes.
[query_database(**{'query': 'SELECT role_code FROM Employees GROUP BY role_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 */
4,215
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all the employees whose the role name is "Editor".
[query_database(**{'query': 'SELECT T1.employee_name FROM Employees AS T1 JOIN ROLES AS T2 ON T1.role_code = T2.role_code WHERE T2.role_name = "Editor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,219
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give me all the distinct location codes for documents.
[query_database(**{'query': 'SELECT DISTINCT location_code FROM Document_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 */
4,223
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each document's location code, and starting date and ending data in that location?
[query_database(**{'query': 'SELECT location_code , date_in_location_from , date_in_locaton_to FROM Document_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 */
4,227
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 code of each location and the number of documents in that location?
[query_database(**{'query': 'SELECT location_code , count(*) FROM Document_locations GROUP BY location_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 */
4,231
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 codes of the locations with at least three documents?
[query_database(**{'query': 'SELECT location_code FROM Document_locations GROUP BY location_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 */
4,235
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the names of the employees who authorized the destruction of documents and the employees who destroyed the corresponding documents.
[query_database(**{'query': 'SELECT T2.employee_name , T3.employee_name FROM Documents_to_be_destroyed AS T1 JOIN Employees AS T2 ON T1.Destruction_Authorised_by_Employee_ID = T2.employee_id JOIN Employees AS T3 ON T1.Destroyed_by_Employee_ID = T3.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 */
4,239
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 destroyed by that employee?
[query_database(**{'query': 'SELECT Destroyed_by_Employee_ID , count(*) FROM Documents_to_be_destroyed GROUP BY Destroyed_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 */
4,243
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 authorize document destruction?
[query_database(**{'query': 'SELECT DISTINCT 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 */
4,247
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 destroy any document? Find their employee ids.
[query_database(**{'query': 'SELECT employee_id FROM Employees EXCEPT SELECT 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 */
4,251
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the total number of clubs.
[query_database(**{'query': 'SELECT count(*) FROM 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 Count the total number of students.
[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 Who are the members of the club named "Bootup Baltimore"? Give me their last names.
[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) ) /* 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 Count the members of the club "Tennis Club".
[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" have membership for?
[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 Give me the first name and last name for all the female members 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 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 Which members of "Bootup Baltimore" major in "600"? Give me their first names and last names.
[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 Which club has the most female students as their members? Give me the name of the club.
[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 What is the location of the club named "Tennis Club"?
[query_database(**{'query': 'SELECT clublocation FROM club WHERE 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 Where is the club "Hopkins Student Enterprises" located?
[query_database(**{'query': 'SELECT clublocation FROM club WHERE clubname = "Hopkins Student Enterprises"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of clubs located at "HHH".
[query_database(**{'query': 'SELECT count(*) FROM club WHERE clublocation = "HHH"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first name and last name for the "CTO" of the club "Hopkins Student Enterprises"?
[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 = "Hopkins Student Enterprises" AND t2.position = "CTO"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "Bootup Baltimore" are older 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 Which clubs have one or more members from the city with code "BAL"? Give me the names of the clubs.
[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 = "BAL"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of clubs for which the student named "Eric Tai" is a member.
[query_database(**{'query': 'SELECT count(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 = "Eric" AND t3.lname = "Tai"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which clubs have one or more members whose advisor is "1121"?
[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.advisor = 1121'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 On average, how old are the members in the club "Hopkins Student Enterprises"?
[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 = "Hopkins Student Enterprises"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 `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 different grant amounts for documents sent before '1986-08-26 20:49:27' and after the grant ended on '1989-03-16 18:27:16'?
[query_database(**{'query': 'SELECT T1.grant_amount FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id WHERE T2.sent_date < '1986-08-26 20:49:27' INTERSECT SELECT grant_amount FROM grants WHERE grant_end_date > '1989-03-16 18:27:16''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,325
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total amount of grant money for research?
[query_database(**{'query': 'SELECT sum(grant_amount) FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id JOIN organisation_Types AS T3 ON T2.organisation_type = T3.organisation_type WHERE T3.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 */
4,329
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids and details for all organizations that have grants of more than 6000 dollars?
[query_database(**{'query': 'SELECT T2.organisation_id , T2.organisation_details FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_id HAVING sum(T1.grant_amount) > 6000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 type of the organization with the most research staff?
[query_database(**{'query': 'SELECT T1.organisation_type FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_type ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 response received date for the document described as Regular that was granted more than 100 dollars?
[query_database(**{'query': 'SELECT T1.response_received_date FROM Documents AS T1 JOIN Document_Types AS T2 ON T1.document_type_code = T2.document_type_code JOIN Grants AS T3 ON T1.grant_id = T3.grant_id WHERE T2.document_description = 'Regular' OR T3.grant_amount > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
4,340
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 task details, task id and project id for the projects which are detailed as 'omnis' or have more than 2 outcomes?
[query_database(**{'query': 'SELECT T1.task_details , T1.task_id , T2.project_id FROM Tasks AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'omnis' UNION SELECT T1.task_details , T1.task_id , T2.project_id FROM Tasks AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id JOIN Project_outcomes AS T3 ON T2.project_id = T3.project_id GROUP BY T2.project_id HAVING count(*) > 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
4,344
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 kinds of roles are there for the 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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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 with the research outcome described with the substring 'Published'.
[query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id JOIN Research_outcomes AS T3 ON T2.outcome_code = T3.outcome_code WHERE T3.outcome_description LIKE '%Published%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 complete description of the researcher role.
[query_database(**{'query': 'SELECT role_description FROM Staff_Roles 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 */
4,356
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which project made the most number of outcomes? List the project details and the project id.
[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 What are the ids, types, and details of the organization with the most research staff?
[query_database(**{'query': 'SELECT T1.organisation_id , T1.organisation_type , T1.organisation_details 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 */
4,365
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 type of the document whose description starts with the word 'Initial'?
[query_database(**{'query': 'SELECT document_type_code FROM Document_Types WHERE document_description LIKE 'Initial%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,369
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each grant id, how many documents does it have, and which one has the most?
[query_database(**{'query': 'SELECT grant_id , count(*) FROM Documents GROUP BY grant_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 What are the details of all organizations that are described as Sponsors and sort the results in ascending order?
[query_database(**{'query': 'SELECT organisation_details FROM Organisations AS T1 JOIN organisation_Types AS T2 ON T1.organisation_type = T2.organisation_type WHERE T2.organisation_type_description = 'Sponsor' ORDER BY organisation_details'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 staff worked as 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 */
4,379
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last date that a staff member left a project?
[query_database(**{'query': 'SELECT date_to FROM Project_Staff ORDER BY date_to DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 organisation id with the maximum outcome count, and the count.
[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 What are the details for the projects which were launched by the organization with the most projects?
[query_database(**{'query': 'SELECT project_details FROM Projects WHERE organisation_id IN ( SELECT organisation_id FROM Projects GROUP BY 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 */
4,389
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are there?
[query_database(**{'query': 'SELECT count(*) FROM Tasks'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 roles did staff members play between '2003-04-19 15:06:20' and '2016-03-15 00:33:18'?
[query_database(**{'query': 'SELECT role_code FROM Project_Staff WHERE date_from > '2003-04-19 15:06:20' AND date_to < '2016-03-15 00:33:18''})]
### 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 `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 Which role is most common for the staff?
[query_database(**{'query': 'SELECT role_code FROM Project_Staff GROUP BY role_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 `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 */
4,423
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 old is the average person for each job?
[query_database(**{'query': 'SELECT avg(age) , job FROM Person GROUP BY job'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,427
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 old is the youngest person for each job?
[query_database(**{'query': 'SELECT min(age) , job FROM Person GROUP BY job'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 people whose age is greater than any engineer sorted by their 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 */
4,434
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 list the name, job title of all people ordered by their names.
[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 */
4,436
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all person sorted in the descending order using age.
[query_database(**{'query': 'SELECT name FROM Person ORDER BY age DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
4,441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ages of every person who is a friend of both Dan and Alice?
[query_database(**{'query': 'SELECT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Dan' INTERSECT SELECT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE 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 */
4,444
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 friends with age above 40 and under age 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 */
4,447
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the people who are older 40 but no friends under age 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) EXCEPT 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 */
4,450
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 person 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 */
4,453
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are Bob's friends?
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T1.name = '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 */
4,456
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of females who are friends with Zach
[query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Zach' AND T1.gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,459
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the friends of Alice who are female?
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,462
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who has a friend that is from new york city?
[query_database(**{'query': 'SELECT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.city = 'new york city''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
4,465
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different names of friends who are younger than the average age for a friend?
[query_database(**{'query': 'SELECT DISTINCT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.age < (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 */