Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
0
9.43k
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sequencelengths
450
49.1k
attention_mask
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450
49.1k
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sequencelengths
450
49.1k
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1.82k
193k
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stringlengths
51
837
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stringclasses
215 values
1,440
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the name of instructors who didn't teach any courses?
[query_database(**{'query': 'SELECT name FROM instructor WHERE id NOT IN (SELECT id FROM teaches)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,444
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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 classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the names of instructors who didn't each any courses in any Spring semester.
[query_database(**{'query': 'SELECT name FROM instructor WHERE id NOT IN (SELECT id FROM teaches WHERE semester = 'Spring')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the number and averaged salary of all instructors who are in the department with the highest budget.
[query_database(**{'query': 'SELECT avg(T1.salary) , count(*) FROM instructor AS T1 JOIN department AS T2 ON T1.dept_name = T2.dept_name ORDER BY T2.budget 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 classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,452
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the name of students who didn't take any course from Biology department.
[query_database(**{'query': 'SELECT name FROM student WHERE id NOT IN (SELECT T1.id FROM takes AS T1 JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.dept_name = 'Biology')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the name of students who have taken the prerequisite course of the course with title International Finance.
[query_database(**{'query': 'SELECT T1.name FROM student AS T1 JOIN takes AS T2 ON T1.id = T2.id WHERE T2.course_id IN (SELECT T4.prereq_id FROM course AS T3 JOIN prereq AS T4 ON T3.course_id = T4.course_id WHERE T3.title = 'International Finance')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,460
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the name of students who took some course offered by Statistics department.
[query_database(**{'query': 'SELECT T3.name FROM course AS T1 JOIN takes AS T2 ON T1.course_id = T2.course_id JOIN student AS T3 ON T2.id = T3.id WHERE T1.dept_name = 'Statistics''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question Find the names of all instructors in computer science department
[query_database(**{'query': 'SELECT name FROM instructor WHERE dept_name = 'Comp. Sci.''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,467
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the names of the instructors in the Comp. Sci. department who earn more than 80000?
[query_database(**{'query': 'SELECT name FROM instructor WHERE dept_name = 'Comp. Sci.' AND salary > 80000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,471
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the names of Art instructors who have taught a course, and the corresponding course id?
[query_database(**{'query': 'SELECT name , course_id FROM instructor AS T1 JOIN teaches AS T2 ON T1.ID = T2.ID WHERE T1.dept_name = 'Art''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,475
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question List the distinct names of the instructors, ordered by name.
[query_database(**{'query': 'SELECT DISTINCT name FROM instructor 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 classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,479
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the ids for courses that were offered in both Fall of 2009 and Spring of 2010?
[query_database(**{'query': 'SELECT course_id FROM SECTION WHERE semester = 'Fall' AND YEAR = 2009 INTERSECT SELECT course_id FROM SECTION WHERE semester = 'Spring' AND YEAR = 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the distinct salaries of all instructors who earned less than the maximum salary?
[query_database(**{'query': 'SELECT DISTINCT salary FROM instructor WHERE salary < (SELECT max(salary) FROM instructor)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,487
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the names and average salaries for departments with average salary higher than 42000?
[query_database(**{'query': 'SELECT dept_name , AVG (salary) FROM instructor GROUP BY dept_name HAVING AVG (salary) > 42000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
1,491
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */ ### Question What are the names of all instructors with a higher salary than any of the instructors in the Biology department?
[query_database(**{'query': 'SELECT name FROM instructor WHERE salary > (SELECT max(salary) FROM instructor WHERE dept_name = 'Biology')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE classroom (building varchar(15), room_number varchar(7), capacity numeric(4,0), primary key (building, room_number) ) /* 1 example row: SELECT * FROM classroom LIMIT 1; building ||room_number ||capacity Lamberton || 134 || 10 */ CREATE TABLE department (dept_name varchar(20), building varchar(15), budget numeric(12,2) check (budget > 0), primary key (dept_name) ) /* 1 example row: SELECT * FROM department LIMIT 1; dept_name ||building || budget Civil Eng. ||Chandler ||255041.46 */ CREATE TABLE course (course_id varchar(8), title varchar(50), dept_name varchar(20) NULL, credits numeric(2,0) check (credits > 0), primary key (course_id), FOREIGN KEY (dept_name) REFERENCES `department` (dept_name) ON DELETE SET NULL -- ON UPDATE NO ACTION -- foreign key (dept_name) references department -- on delete set null ) /* 1 example row: SELECT * FROM course LIMIT 1; course_id || title || dept_name ||credits 787 ||C Programming ||Mech. Eng. || 4 */ CREATE TABLE instructor (ID varchar(5), name varchar(20) not null, dept_name varchar(20), salary numeric(8,2) check (salary > 29000), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM instructor LIMIT 1; ID || name || dept_name || salary 63395 ||McKinnon ||Cybernetics ||94333.99 */ CREATE TABLE section (course_id varchar(8), sec_id varchar(8), semester varchar(6) check (semester in ('Fall', 'Winter', 'Spring', 'Summer')), year numeric(4,0) check (year > 1701 and year < 2100), building varchar(15), room_number varchar(7), time_slot_id varchar(4), primary key (course_id, sec_id, semester, year), foreign key (course_id) references course (course_id) on delete cascade, foreign key (building, room_number) references classroom (building, room_number) on delete set null ) /* 1 example row: SELECT * FROM section LIMIT 1; course_id ||sec_id ||semester ||year ||building ||room_number ||time_slot_id 313 || 1 || Fall ||2010 ||Chandler || 804 || N */ CREATE TABLE teaches (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references instructor (ID) on delete cascade ) /* 1 example row: SELECT * FROM teaches LIMIT 1; ID ||course_id ||sec_id ||semester ||year 34175 || 747 || 1 || Spring ||2004 */ CREATE TABLE student (ID varchar(5), name varchar(20) not null, dept_name varchar(20), tot_cred numeric(3,0) check (tot_cred >= 0), primary key (ID), foreign key (dept_name) references department (dept_name) on delete set null ) /* 1 example row: SELECT * FROM student LIMIT 1; ID || name ||dept_name ||tot_cred 24746 ||Schrefl || History || 4 */ CREATE TABLE takes (ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2), primary key (ID, course_id, sec_id, semester, year), foreign key (course_id,sec_id, semester, year) references section (course_id, sec_id, semester, year) on delete cascade, foreign key (ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM takes LIMIT 1; ID ||course_id ||sec_id ||semester ||year ||grade 65901 || 401 || 1 || Fall ||2003 || C- */ CREATE TABLE advisor (s_ID varchar(5), i_ID varchar(5), primary key (s_ID), foreign key (i_ID) references instructor (ID) on delete set null, foreign key (s_ID) references student (ID) on delete cascade ) /* 1 example row: SELECT * FROM advisor LIMIT 1; s_ID || i_ID 24746 ||19368 */ CREATE TABLE time_slot (time_slot_id varchar(4), day varchar(1), start_hr numeric(2) check (start_hr >= 0 and start_hr < 24), start_min numeric(2) check (start_min >= 0 and start_min < 60), end_hr numeric(2) check (end_hr >= 0 and end_hr < 24), end_min numeric(2) check (end_min >= 0 and end_min < 60), primary key (time_slot_id, day, start_hr, start_min) ) /* 1 example row: SELECT * FROM time_slot LIMIT 1; time_slot_id ||day ||start_hr ||start_min ||end_hr ||end_min A || M || 8 || 0 || 8 || 50 */ CREATE TABLE prereq (course_id varchar(8), prereq_id varchar(8), primary key (course_id, prereq_id), foreign key (course_id) references course (course_id) on delete cascade, foreign key (prereq_id) references course (course_id) ) /* 1 example row: SELECT * FROM prereq LIMIT 1; course_id ||prereq_id 376 || 130 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */ ### Question Show different parties of people along with the number of people in each party.
[query_database(**{'query': 'SELECT Party , COUNT(*) FROM people GROUP BY Party'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */ ### Question Show the names of people, and dates and venues of debates they are on the affirmative side.
[query_database(**{'query': 'SELECT T3.Name , T2.Date , T2.Venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_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 "people" ( "People_ID" int, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */ ### Question Show the names of people who have been on the negative side of debates at least twice.
[query_database(**{'query': 'SELECT T2.Name FROM debate_people AS T1 JOIN people AS T2 ON T1.Negative = T2.People_ID GROUP BY T2.Name 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 "people" ( "People_ID" int, "District" text, "Name" text, "Party" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || District || Name || Party ||Age 1 ||New York 1 ||Luther C. Carter ||Republican || 35 */ CREATE TABLE "debate" ( "Debate_ID" int, "Date" text, "Venue" text, "Num_of_Audience" int, PRIMARY KEY ("Debate_ID") ) /* 1 example row: SELECT * FROM debate LIMIT 1; Debate_ID || Date || Venue ||Num_of_Audience 1 ||October 21, 2011 ||Manama , Bahrain || 342 */ CREATE TABLE "debate_people" ( "Debate_ID" int, "Affirmative" int, "Negative" int, "If_Affirmative_Win" bool, PRIMARY KEY ("Debate_ID","Affirmative","Negative"), FOREIGN KEY ("Debate_ID") REFERENCES `debate`("Debate_ID"), FOREIGN KEY ("Affirmative") REFERENCES `people`("People_ID"), FOREIGN KEY ("Negative") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM debate_people LIMIT 1; Debate_ID ||Affirmative ||Negative ||If_Affirmative_Win 1 || 1 || 10 || F */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question Find all the policy type codes associated with the customer "Dayana Robel"
[query_database(**{'query': 'SELECT policy_type_code FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t2.customer_details = "Dayana Robel"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question Find all the policy types that are used by more than 2 customers.
[query_database(**{'query': 'SELECT policy_type_code FROM policies GROUP BY policy_type_code 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 Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
1,517
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question Find the total amount claimed in the most recently created document.
[query_database(**{'query': 'SELECT sum(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date 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 Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
1,521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question What is the name of the customer who has made the minimum amount of payment in one claim?
[query_database(**{'query': 'SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT min(amount_piad) FROM claim_headers)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question How many claim processing stages are there in total?
[query_database(**{'query': 'SELECT count(*) FROM claims_processing_stages'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
1,527
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question What is the name of the claim processing stage that most of the claims are on?
[query_database(**{'query': 'SELECT t2.claim_status_name FROM claims_processing AS t1 JOIN claims_processing_stages AS t2 ON t1.claim_stage_id = t2.claim_stage_id GROUP BY t1.claim_stage_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 Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question Which customers have an insurance policy with the type code "Deputy"? Give me the customer details.
[query_database(**{'query': 'SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question Find the names of all the customers and staff members.
[query_database(**{'query': 'SELECT customer_details FROM customers UNION SELECT staff_details FROM 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 Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question What is the description of the claim status "Open"?
[query_database(**{'query': 'SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */ ### Question How many distinct claim outcome codes are there?
[query_database(**{'query': 'SELECT count(DISTINCT claim_outcome_code) FROM claims_processing'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_Details 252 ||America Jaskolski */ CREATE TABLE Staff ( Staff_ID INTEGER NOT NULL, Staff_Details VARCHAR(255) NOT NULL, PRIMARY KEY (Staff_ID) ) /* 1 example row: SELECT * FROM staff LIMIT 1; Staff_ID ||Staff_Details 406 || Clifton */ CREATE TABLE Policies ( Policy_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_Type_Code CHAR(15) NOT NULL, Start_Date DATETIME, End_Date DATETIME, PRIMARY KEY (Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID) ) /* 1 example row: SELECT * FROM policies LIMIT 1; Policy_ID ||Customer_ID ||Policy_Type_Code || Start_Date || End_Date 125 || 808 || Deputy ||2018-02-10 08:56:30 ||2018-03-18 09:17:26 */ CREATE TABLE Claim_Headers ( Claim_Header_ID INTEGER NOT NULL, Claim_Status_Code CHAR(15) NOT NULL, Claim_Type_Code CHAR(15) NOT NULL, Policy_ID INTEGER NOT NULL, Date_of_Claim DATETIME, Date_of_Settlement DATETIME, Amount_Claimed DECIMAL(20,4), Amount_Piad DECIMAL(20,4), PRIMARY KEY (Claim_Header_ID), FOREIGN KEY (Policy_ID) REFERENCES Policies (Policy_ID) ) /* 1 example row: SELECT * FROM claim_headers LIMIT 1; Claim_Header_ID ||Claim_Status_Code || Claim_Type_Code ||Policy_ID || Date_of_Claim || Date_of_Settlement ||Amount_Claimed ||Amount_Piad 15 || Settled ||Handphone Subsidy || 518 ||2016-05-31 06:07:11 ||2018-02-23 03:46:38 || 349.15 || 582.03 */ CREATE TABLE Claims_Documents ( Claim_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Created_by_Staff_ID INTEGER, Created_Date INTEGER, PRIMARY KEY (Claim_ID, Document_Type_Code), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Created_by_Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_documents LIMIT 1; Claim_ID ||Document_Type_Code ||Created_by_Staff_ID ||Created_Date 24 || Document || 718 || 8 */ CREATE TABLE Claims_Processing_Stages ( Claim_Stage_ID INTEGER NOT NULL, Next_Claim_Stage_ID INTEGER, Claim_Status_Name VARCHAR(255) NOT NULL, Claim_Status_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Claim_Stage_ID) ) /* 1 example row: SELECT * FROM claims_processing_stages LIMIT 1; Claim_Stage_ID ||Next_Claim_Stage_ID ||Claim_Status_Name ||Claim_Status_Description 1 || 1 || Open || Open a new claim */ CREATE TABLE Claims_Processing ( Claim_Processing_ID INTEGER NOT NULL, Claim_ID INTEGER NOT NULL, Claim_Outcome_Code CHAR(15) NOT NULL, Claim_Stage_ID INTEGER NOT NULL, Staff_ID INTEGER, PRIMARY KEY (Claim_Processing_ID), FOREIGN KEY (Claim_ID) REFERENCES Claim_Headers (Claim_Header_ID), FOREIGN KEY (Staff_ID) REFERENCES Staff (Staff_ID) ) /* 1 example row: SELECT * FROM claims_processing LIMIT 1; Claim_Processing_ID ||Claim_ID ||Claim_Outcome_Code ||Claim_Stage_ID ||Staff_ID 118 || 28 || In progress || 1 || 771 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the number of accounts.
[query_database(**{'query': 'SELECT count(*) FROM Accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the id, the date of account opened, the account name, and other account detail for all accounts.
[query_database(**{'query': 'SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,555
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the account name and other account detail for all accounts by the customer with first name Meaghan and last name Keeling.
[query_database(**{'query': 'SELECT T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Meaghan" AND T2.customer_last_name = "Keeling"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,559
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question How many customers don't have an account?
[query_database(**{'query': 'SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,563
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show customer ids who don't have an account.
[query_database(**{'query': 'SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question What is the customer id, first and last name with most number of accounts.
[query_database(**{'query': 'SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,571
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show first name and id for all customers with at least 2 accounts.
[query_database(**{'query': 'SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the number of customers for each gender.
[query_database(**{'query': 'SELECT gender , count(*) FROM Customers GROUP BY gender'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,579
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question How many transaction does each account have? Show the number and account id.
[query_database(**{'query': 'SELECT count(*) , account_id FROM Financial_transactions'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question What is the average, minimum, maximum, and total transaction amount?
[query_database(**{'query': 'SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,587
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the transaction types and the total amount of transactions.
[query_database(**{'query': 'SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,591
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the account id with most number of transactions.
[query_database(**{'query': 'SELECT account_id FROM Financial_transactions GROUP BY account_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show all product sizes.
[query_database(**{'query': 'SELECT DISTINCT product_size FROM Products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,599
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the invoice number and the number of transactions for each invoice.
[query_database(**{'query': 'SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,603
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question How many invoices do we have?
[query_database(**{'query': 'SELECT count(*) FROM Invoices'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the order ids and the number of invoices for each order.
[query_database(**{'query': 'SELECT order_id , count(*) FROM Invoices GROUP BY order_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,611
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question What is the customer last name, id and phone number with most number of orders?
[query_database(**{'query': 'SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,615
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show all product names and the total quantity ordered for each product name.
[query_database(**{'query': 'SELECT T2.product_name , sum(T1.product_quantity) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,619
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show the product ids and the number of unique orders containing each product.
[query_database(**{'query': 'SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,623
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question Show order ids and the number of products in each order.
[query_database(**{'query': 'SELECT order_id , count(DISTINCT product_id) FROM Order_items GROUP BY order_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
1,627
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */ ### Question How many products were not included in any order?
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_first_name` VARCHAR(50), `customer_middle_initial` VARCHAR(1), `customer_last_name` VARCHAR(50), `gender` VARCHAR(1), `email_address` VARCHAR(255), `login_name` VARCHAR(80), `login_password` VARCHAR(20), `phone_number` VARCHAR(255), `town_city` VARCHAR(50), `state_county_province` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_first_name ||customer_middle_initial ||customer_last_name ||gender || email_address ||login_name || login_password || phone_number || town_city ||state_county_province ||country 1 || Dee || A || Larkin || 1 ||[email protected] || xhartmann ||77789d292604ea04406f ||241.796.1219x37862 ||North Nellie || WestVirginia || USA */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id || date_order_placed ||order_details 1 || 12 ||2012-06-27 20:49:56 || None */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_date` DATETIME, FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number ||order_id || invoice_date 1 || 9 ||2018-03-01 16:40:48 */ CREATE TABLE `Accounts` ( `account_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `date_account_opened` DATETIME, `account_name` VARCHAR(50), `other_account_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; account_id ||customer_id ||date_account_opened ||account_name ||other_account_details 1 || 8 ||2016-07-30 22:22:24 || 900 || Regular */ CREATE TABLE `Product_Categories` ( `production_type_code` VARCHAR(15) PRIMARY KEY, `product_type_description` VARCHAR(80), `vat_rating` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM product_categories LIMIT 1; production_type_code ||product_type_description ||vat_rating Food || Food || 15.84 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `production_type_code` VARCHAR(15) NOT NULL, `unit_price` DECIMAL(19,4), `product_name` VARCHAR(80), `product_color` VARCHAR(20), `product_size` VARCHAR(20), FOREIGN KEY (`production_type_code` ) REFERENCES `Product_Categories`(`production_type_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||production_type_code ||unit_price ||product_name ||product_color ||product_size 1 || 4 || Food || 617.95 || Coffee Bean || Red || Medium */ CREATE TABLE `Financial_Transactions` ( `transaction_id` INTEGER NOT NULL , `account_id` INTEGER NOT NULL, `invoice_number` INTEGER, `transaction_type` VARCHAR(15) NOT NULL, `transaction_date` DATETIME, `transaction_amount` DECIMAL(19,4), `transaction_comment` VARCHAR(255), `other_transaction_details` VARCHAR(255), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` ) ) /* 1 example row: SELECT * FROM financial_transactions LIMIT 1; transaction_id ||account_id ||invoice_number ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details 1 || 13 || 12 || Payment ||2018-03-15 21:13:57 || 613.96 || None || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_quantity` VARCHAR(50), `other_order_item_details` VARCHAR(255), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||product_quantity ||other_order_item_details 1 || 4 || 4 || 6 || None */ CREATE TABLE `Invoice_Line_Items` ( `order_item_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `product_title` VARCHAR(80), `product_quantity` VARCHAR(50), `product_price` DECIMAL(19,4), `derived_product_cost` DECIMAL(19,4), `derived_vat_payable` DECIMAL(19,4), `derived_total_cost` DECIMAL(19,4), FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM invoice_line_items LIMIT 1; order_item_id ||invoice_number ||product_id ||product_title ||product_quantity ||product_price ||derived_product_cost ||derived_vat_payable ||derived_total_cost 14 || 9 || 5 || prod_name || 4 || 742.37 || 191.11 || None || 69.82 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question Show the organizer and name for churches that opened between 1830 and 1840.
[query_database(**{'query': 'SELECT organized_by , name FROM church WHERE open_date BETWEEN 1830 AND 1840'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question Show the country where people older than 30 and younger than 25 are from.
[query_database(**{'query': 'SELECT country FROM people WHERE age < 25 INTERSECT SELECT country FROM people 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 "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question Show the name and age for all male people who don't have a wedding.
[query_database(**{'query': 'SELECT name , age FROM people WHERE is_male = 'T' AND people_id NOT IN (SELECT male_id FROM wedding)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question How many weddings are there in year 2016?
[query_database(**{'query': 'SELECT count(*) FROM wedding WHERE YEAR = 2016'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question How many artists do we have?
[query_database(**{'query': 'SELECT count(*) FROM artist'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are all distinct country for artists?
[query_database(**{'query': 'SELECT DISTINCT country FROM artist'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question How many artists are above age 46 and joined after 1990?
[query_database(**{'query': 'SELECT count(*) FROM artist WHERE age > 46 AND year_join > 1990'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What is the name of the artist who joined latest?
[query_database(**{'query': 'SELECT name FROM artist ORDER BY year_join 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 "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show theme and year for all exhibitions with ticket prices lower than 15.
[query_database(**{'query': 'SELECT theme , YEAR FROM exhibition WHERE ticket_price < 15'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question How many exhibitions has each artist had?
[query_database(**{'query': 'SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_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 "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are the names of artists that have not had any exhibitions?
[query_database(**{'query': 'SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show the average, minimum, and maximum ticket prices for exhibitions for all years before 2009.
[query_database(**{'query': 'SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What is the theme, date, and attendance for the exhibition in year 2004?
[query_database(**{'query': 'SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show the theme for exhibitions with both records of an attendance below 100 and above 500.
[query_database(**{'query': 'SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show all artist names with an average exhibition attendance over 200.
[query_database(**{'query': 'SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING avg(T1.attendance) > 200'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the number of reviews.
[query_database(**{'query': 'SELECT count(*) FROM review'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the highest rank of all reviews.
[query_database(**{'query': 'SELECT min(rank) FROM review'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the names of users who did not leave any review.
[query_database(**{'query': 'SELECT name FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the titles of items that received both a rating higher than 8 and a rating below 5.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating > 8 INTERSECT SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating < 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,706
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the name of the user who gives the most reviews.
[query_database(**{'query': 'SELECT T1.name FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,710
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question For each user, find their name and the number of reviews written by them.
[query_database(**{'query': 'SELECT T1.name , count(*) FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,714
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the name of the target user with the lowest trust score.
[query_database(**{'query': 'SELECT T1.name FROM useracct AS T1 JOIN trust AS T2 ON T1.u_id = T2.target_u_id ORDER BY trust 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 `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,718
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the number of items without any review.
[query_database(**{'query': 'SELECT count(*) FROM item WHERE i_id NOT IN (SELECT i_id FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,722
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question List the name and residence for players whose occupation is not "Researcher".
[query_database(**{'query': 'SELECT Player_name , residence FROM player WHERE Occupation != "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 "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Please show the most common occupation of players.
[query_database(**{'query': 'SELECT Occupation FROM player GROUP BY Occupation 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 "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Show the names and genders of players with a coach starting after 2011.
[query_database(**{'query': 'SELECT T3.Player_name , T3.gender FROM player_coach AS T1 JOIN coach AS T2 ON T1.Coach_ID = T2.Coach_ID JOIN player AS T3 ON T1.Player_ID = T3.Player_ID WHERE T1.Starting_year > 2011'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question How many coaches does each club has? List the club id, name and the number of coaches.
[query_database(**{'query': 'SELECT T1.club_id , T1.club_name, count(*) FROM club AS T1 JOIN coach AS T2 ON T1.club_id = T2.club_id GROUP BY T1.club_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 "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Count the number of gymnasts.
[query_database(**{'query': 'SELECT count(*) FROM gymnast'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What is the average horizontal bar points for all gymnasts?
[query_database(**{'query': 'SELECT avg(Horizontal_Bar_Points) FROM gymnast'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the names of gymnasts?
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What is the age of the tallest person?
[query_database(**{'query': 'SELECT Age FROM people ORDER BY Height 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What is the total point count of the youngest gymnast?
[query_database(**{'query': 'SELECT T1.Total_Points FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Age 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the distinct hometowns of gymnasts with total points more than 57.5?
[query_database(**{'query': 'SELECT DISTINCT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID WHERE T1.Total_Points > 57.5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What is the most common hometown of gymnasts?
[query_database(**{'query': 'SELECT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question List the names of gymnasts in ascending order by their heights.
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Height 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question How many distinct hometowns did these people have?
[query_database(**{'query': 'SELECT count(DISTINCT Hometown) FROM people'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the ages of the gymnasts, ordered descending by their total points?
[query_database(**{'query': 'SELECT T2.Age FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T1.Total_Points 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Count the number of accounts.
[query_database(**{'query': 'SELECT count(*) FROM accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,785
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the number of accounts with a savings balance that is higher than the average savings balance.
[query_database(**{'query': 'SELECT count(*) FROM savings WHERE balance > (SELECT avg(balance) FROM savings)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What is the checking balance of the account whose owner’s name contains the substring ‘ee’?
[query_database(**{'query': 'SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name LIKE '%ee%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names of accounts with checking balances greater than the average checking balance and savings balances below the average savings balance?
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance > (SELECT avg(balance) FROM checking) INTERSECT SELECT T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM savings)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,796
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question List all customers’ names in the alphabetical order.
[query_database(**{'query': 'SELECT name FROM accounts 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 ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,799
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What is the name corresponding to the accoung with the lowest sum of checking and savings balances?
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance + T3.balance 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 ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,803
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names and balances of checking accounts belonging to the customer with the lowest savings balance?
[query_database(**{'query': 'SELECT T1.name , T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance 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 ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,808
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the name of accounts whose checking balance is below the average checking balance.
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM checking)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,812
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the total checking and saving balance of all accounts sorted by the total balance in ascending order.
[query_database(**{'query': 'SELECT T1.balance + T2.balance FROM checking AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T1.balance + T2.balance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,816
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the name, checking balance and saving balance of all accounts in the bank.
[query_database(**{'query': 'SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,820
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the name of accounts whose checking balance is higher than corresponding saving balance.
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T2.balance > T3.balance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,824
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the name and savings balance of the top 3 accounts with the highest saving balance sorted by savings balance in descending order.
[query_database(**{'query': 'SELECT T1.name , T2.balance FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T2.balance DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,828
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question List the ids, names and market shares of all browsers.
[query_database(**{'query': 'SELECT id , name , market_share FROM browser'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question What are the name and os of web client accelerators that do not work with only a 'Broadband' type connection?
[query_database(**{'query': 'SELECT name , operating_system FROM web_client_accelerator WHERE CONNECTION != 'Broadband''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question How many different kinds of clients are supported by the web clients accelerators?
[query_database(**{'query': 'SELECT count(DISTINCT client) FROM web_client_accelerator'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */