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
1,468
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 who have taught some course and the course_id.
[query_database(**{'query': 'SELECT name , course_id FROM instructor AS T1 JOIN teaches AS T2 ON T1.ID = T2.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 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 */
1,472
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 whose name includes the substring “dar”.
[query_database(**{'query': 'SELECT name FROM instructor WHERE name LIKE '%dar%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 courses that ran in Fall 2009 or in Spring 2010.
[query_database(**{'query': 'SELECT course_id FROM SECTION WHERE semester = 'Fall' AND YEAR = 2009 UNION 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 */
1,480
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 courses that ran in Fall 2009 but not in Spring 2010.
[query_database(**{'query': 'SELECT course_id FROM SECTION WHERE semester = 'Fall' AND YEAR = 2009 EXCEPT 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 Find the total number of instructors who teach a course in the Spring 2010 semester.
[query_database(**{'query': 'SELECT COUNT (DISTINCT ID) FROM teaches 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 */
1,488
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of instructors with salary greater than that of some (at least one) instructor in the Biology department.
[query_database(**{'query': 'SELECT name FROM instructor WHERE salary > (SELECT min(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 How many debates are there?
[query_database(**{'query': 'SELECT count(*) FROM debate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the venues of debates in ascending order of the number of audience.
[query_database(**{'query': 'SELECT Venue FROM debate ORDER BY Num_of_Audience 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 "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 List the dates of debates with number of audience bigger than 150
[query_database(**{'query': 'SELECT Date FROM debate WHERE Num_of_Audience > 150'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 party that has the most people.
[query_database(**{'query': 'SELECT Party FROM people GROUP BY Party ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "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 negative side, ordered in ascending alphabetical order of name.
[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.Negative = T3.People_ID ORDER BY T3.Name 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 "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 Sort the customer names in alphabetical order.
[query_database(**{'query': 'SELECT customer_details FROM customers ORDER BY customer_details'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
1,512
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 type code of the most frequently used policy.
[query_database(**{'query': 'SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 are the total amount and average amount paid in claim headers?
[query_database(**{'query': 'SELECT sum(amount_piad) , avg(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 */
1,520
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 customer made the largest amount of claim in a single claim? Return the customer details.
[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_claimed = (SELECT max(amount_claimed) 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 What are the names of customers who do not have any policies?
[query_database(**{'query': 'SELECT customer_details FROM customers EXCEPT SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_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 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 customers whose name contains "Diana".
[query_database(**{'query': 'SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,531
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the customers who have an deputy policy.
[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 What are the names of 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 Find the name of the customer that has been involved in the most policies.
[query_database(**{'query': 'SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details 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 Count the number of distinct claim outcome codes.
[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 */
1,548
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 accounts are there?
[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 */
1,553
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 account name, and other account details for all accounts by the customer with first name 'Meaghan'.
[query_database(**{'query': 'SELECT T1.account_id , T1.date_account_opened , 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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,557
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first name and last name for the customer with account name 900.
[query_database(**{'query': 'SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,561
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 unique first names, last names, and phone numbers for all customers with any account.
[query_database(**{'query': 'SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 accounts does each customer have? List the number and customer id.
[query_database(**{'query': 'SELECT count(*) , customer_id FROM Accounts GROUP BY customer_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 */
1,569
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id, first name and last name for all customers and the number of accounts.
[query_database(**{'query': 'SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 */
1,573
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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.
[query_database(**{'query': 'SELECT count(*) FROM Customers'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,577
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 transactions do we have?
[query_database(**{'query': 'SELECT count(*) 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 How many transaction does account with name 337 have?
[query_database(**{'query': 'SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,585
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids for all transactions whose amounts are greater than the average.
[query_database(**{'query': 'SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, id and the number of transactions for each account.
[query_database(**{'query': 'SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_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 */
1,593
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and name with at least 4 transactions.
[query_database(**{'query': 'SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 colors.
[query_database(**{'query': 'SELECT DISTINCT product_color 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 invoice number and invoice date for the invoice with most number of transactions?
[query_database(**{'query': 'SELECT T2.invoice_number , T2.invoice_date FROM Financial_transactions AS T1 JOIN Invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number 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 */
1,605
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 invoice dates and order id and details for all invoices.
[query_database(**{'query': 'SELECT T1.invoice_date , T1.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.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 */
1,609
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 order id and order details for the order more than two invoices.
[query_database(**{'query': 'SELECT T2.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id GROUP BY T2.order_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 all product names without an order.
[query_database(**{'query': 'SELECT product_name FROM Products EXCEPT SELECT T1.product_name FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.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 */
1,617
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 items in each order.
[query_database(**{'query': 'SELECT order_id , count(*) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of customers having an order on each product.
[query_database(**{'query': 'SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_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 */
1,625
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total quantity in each order.
[query_database(**{'query': 'SELECT order_id , sum(product_quantity) 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 */
1,629
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 churches opened before 1850 are there?
[query_database(**{'query': 'SELECT count(*) FROM Church WHERE Open_Date < 1850'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all church names in descending order of opening date.
[query_database(**{'query': 'SELECT name FROM church ORDER BY open_date DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 opening year for three churches that opened most recently.
[query_database(**{'query': 'SELECT name , open_date FROM church ORDER BY open_date 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 "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 country for all people whose age is smaller than the average.
[query_database(**{'query': 'SELECT name , country FROM people WHERE age < (SELECT avg(age) 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 "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 all church names that have hosted least two weddings.
[query_database(**{'query': 'SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id GROUP BY T1.church_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 "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 all countries and the number of people from each country.
[query_database(**{'query': 'SELECT country , count(*) FROM people GROUP BY country'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 Count the number of artists.
[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 Return the different countries 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 Count the number of artists who are older than 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 Return the name of the artist who has the latest join year.
[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 What are the theme and year for all exhibitions that have a ticket price under 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 Return the name and country corresponding to the artist who has had the most exhibitions.
[query_database(**{'query': 'SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_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 "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 average, minimum, and maximum ticket prices for exhibitions that happened prior to 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 Show all artist names who didn't have an exhibition in 2004.
[query_database(**{'query': 'SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.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 How many exhibitions have a attendance more than 100 or have a ticket price below 10?
[query_database(**{'query': 'SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 artist whose exhibitions draw over 200 attendees on average?
[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 How many users are there?
[query_database(**{'query': 'SELECT count(*) FROM useracct'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many different users wrote some reviews?
[query_database(**{'query': 'SELECT count(DISTINCT 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 */
1,699
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 goods that receive a rating of 10.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating = 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,703
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 items whose rank is higher than 3 and whose average rating is above 5.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rank > 3 INTERSECT SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id HAVING avg(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 */
1,707
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and id of the item with the highest average rating.
[query_database(**{'query': 'SELECT T1.title , T1.i_id FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY avg(T2.rating) 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 */
1,711
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 gave the highest rating.
[query_database(**{'query': 'SELECT T1.name FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id ORDER BY T2.rating 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 */
1,715
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the items that did not receive any review.
[query_database(**{'query': 'SELECT title 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 */
1,719
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 players are there?
[query_database(**{'query': 'SELECT count(*) FROM player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of sponsors of players whose residence is either "Brandon" or "Birtle".
[query_database(**{'query': 'SELECT Sponsor_name FROM player WHERE Residence = "Brandon" OR Residence = "Birtle"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 residences that have at least two players.
[query_database(**{'query': 'SELECT Residence FROM player GROUP BY Residence 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 "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 of players and names of their coaches in descending order of the votes of players.
[query_database(**{'query': 'SELECT T3.Player_name , T2.coach_name 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 ORDER BY T3.Votes 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 "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 gold medals has the club with the most coaches won?
[query_database(**{'query': 'SELECT T1.club_id , T1.gold FROM match_result AS T1 JOIN coach AS T2 ON T1.club_id = T2.club_id GROUP BY T1.club_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 "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 What are the total points of gymnasts, ordered by their floor exercise points descending?
[query_database(**{'query': 'SELECT Total_Points FROM gymnast ORDER BY Floor_Exercise_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 "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 Return the names of people, ordered alphabetically.
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Name 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 Return the names of gymnasts who did not grow up in Santo Domingo.
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID WHERE T2.Hometown != "Santo Domingo"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the age of the person with the greatest height.
[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 average age of all gymnasts?
[query_database(**{'query': 'SELECT avg(T2.Age) 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 are the hometowns of gymnasts and the corresponding number of gymnasts?
[query_database(**{'query': 'SELECT T2.Hometown , COUNT(*) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 hometowns that are shared by at least two 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 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 "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 From which hometowns did no gymnasts come from?
[query_database(**{'query': 'SELECT DISTINCT Hometown FROM people EXCEPT SELECT DISTINCT T2.Hometown 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 Count the number of different hometowns of these people.
[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 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 savings balance of all accounts except the account with name ‘Brown’.
[query_database(**{'query': 'SELECT sum(T2.balance) FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T1.name != 'Brown''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,780
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total checking balance in all accounts?
[query_database(**{'query': 'SELECT sum(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 */
1,782
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average checking balance.
[query_database(**{'query': '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 */
1,786
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id of accounts whose checking balance is below the maximum checking balance.
[query_database(**{'query': 'SELECT T1.custid , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT max(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 */
1,790
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 checking balance and saving balance in the Brown’s account.
[query_database(**{'query': 'SELECT T2.balance , T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T1.name = 'Brown''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,794
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 checking balance of the accounts whose savings balance is higher than the average savings balance.
[query_database(**{'query': 'SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name IN (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 */
1,798
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 account that has the lowest total checking and 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 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 */
1,802
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 checking balance of the account 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 */
1,806
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 saving balance for each account name.
[query_database(**{'query': 'SELECT sum(T2.balance) , T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid GROUP BY T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
1,810
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 saving balance of the account with the highest checking balance.
[query_database(**{'query': 'SELECT T3.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 T2.balance 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 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 Find the name and checking balance of the account with the lowest saving balance.
[query_database(**{'query': 'SELECT T2.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 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 */
1,818
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 savings balance of all accounts in the bank sorted by their total checking and savings balance in descending order.
[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 ORDER BY T2.balance + T3.balance 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 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 */
1,822
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total checking and savings balance of the accounts whose savings balance is lower than corresponding checking balance.
[query_database(**{'query': 'SELECT T1.name , T3.balance + T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.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 */
1,826
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 main stream browsers whose market share is at least 5 exist?
[query_database(**{'query': 'SELECT count(*) FROM browser WHERE market_share >= 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 "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 ids and names of the web accelerators that are compatible with two or more browsers?
[query_database(**{'query': 'SELECT T1.id , T1.Name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id GROUP BY T1.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 "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 When did the web accelerator 'CACHEbox' and browser 'Internet Explorer' become compatible?
[query_database(**{'query': 'SELECT T1.compatible_since_year FROM accelerator_compatible_browser AS T1 JOIN browser AS T2 ON T1.browser_id = T2.id JOIN web_client_accelerator AS T3 ON T1.accelerator_id = T3.id WHERE T3.name = 'CACHEbox' AND T2.name = 'Internet Explorer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the accelerator names and supporting operating systems that are not compatible with the browser named 'Opera'.
[query_database(**{'query': 'SELECT name , operating_system FROM web_client_accelerator EXCEPT SELECT T1.name , T1.operating_system FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T3.name = 'Opera''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 give me names of all compatible browsers and accelerators in the descending order of compatible year
[query_database(**{'query': 'SELECT T2.name , T3.name FROM accelerator_compatible_browser AS T1 JOIN browser AS T2 ON T1.browser_id = T2.id JOIN web_client_accelerator AS T3 ON T1.accelerator_id = T3.id ORDER BY T1.compatible_since_year DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the names of the wrestlers, ordered descending by days held?
[query_database(**{'query': 'SELECT Name FROM wrestler ORDER BY Days_held 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the names and location of the wrestlers?
[query_database(**{'query': 'SELECT Name , LOCATION FROM wrestler'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the names of wrestlers and the elimination moves?
[query_database(**{'query': 'SELECT T2.Name , T1.Elimination_Move FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question List the time of elimination of the wrestlers with largest days held.
[query_database(**{'query': 'SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */