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truongpdd
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BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the census rankings of cities that do not have the status "Village"?
[query_database(**{'query': 'SELECT Census_Ranking FROM city WHERE Status != "Village"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
59
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of the students who registered for some courses but had the least number of courses for all students?
[query_database(**{'query': 'SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
63
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of every student who has never attended a course?
[query_database(**{'query': 'SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
66
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of all students for courses and what are the names of those courses?
[query_database(**{'query': 'SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
71
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question How many courses do the student whose id is 171 attend?
[query_database(**{'query': 'SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
74
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What is the id of the candidate whose email is [email protected]?
[query_database(**{'query': 'SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "[email protected]"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
79
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the id of students who registered some courses and the number of their registered courses?
[query_database(**{'query': 'SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question For each course id, how many students are registered and what are the course names?
[query_database(**{'query': 'SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
86
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the cell phone numbers of the candidates that received an assessment code of "Fail"?
[query_database(**{'query': 'SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
90
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of the students who registered for course 301 most recently?
[query_database(**{'query': 'SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
94
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the different cities where students live?
[query_database(**{'query': 'SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
98
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the first names of the people in alphabetical order?
[query_database(**{'query': 'SELECT first_name FROM people ORDER BY first_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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
102
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of the courses that are registered or attended by the student whose id is 121?
[query_database(**{'query': 'SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
106
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of the students who registered course statistics by order of registration date?
[query_database(**{'query': 'SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
110
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the dates with a maximum temperature higher than 85?
[query_database(**{'query': 'SELECT date FROM weather WHERE max_temperature_f > 85'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
113
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each city, return the highest latitude among its stations.
[query_database(**{'query': 'SELECT city , max(lat) FROM station GROUP BY city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
117
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average latitude and longitude of stations located in San Jose city?
[query_database(**{'query': 'SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
121
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the total and maximum duration of trips with bike id 636?
[query_database(**{'query': 'SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
125
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question From the trip record, find the number of unique bikes.
[query_database(**{'query': 'SELECT count(DISTINCT bike_id) FROM trip'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
128
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question How many different cities have these stations?
[query_database(**{'query': 'SELECT count(DISTINCT city) FROM station'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
132
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the different names for each station that has ever had 7 bikes available?
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
137
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question How many days had both mean humidity above 50 and mean visibility above 8?
[query_database(**{'query': 'SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
141
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids of stations that are located in San Francisco and have average bike availability above 10.
[query_database(**{'query': 'SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
145
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the 3 most common cloud cover rates in the region of zip code 94107?
[query_database(**{'query': 'SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
149
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average bike availability in stations that are not located in Palo Alto?
[query_database(**{'query': 'SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
153
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question When and in what zip code did max temperature reach 80?
[query_database(**{'query': 'SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
157
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each zip code, return how many times max wind speed reached 25?
[query_database(**{'query': 'SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
161
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each trip, return its ending station's installation date.
[query_database(**{'query': 'SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
165
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Count the number of trips that did not end in San Francisco city.
[query_database(**{'query': 'SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
169
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
[query_database(**{'query': 'SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
173
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the name, latitude, and city of the station with the lowest latitude?
[query_database(**{'query': 'SELECT name , lat , city FROM station ORDER BY lat 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
179
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Find the ids and names of stations from which at least 200 trips started.
[query_database(**{'query': 'SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
181
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Find the zip code in which the average mean visibility is lower than 10.
[query_database(**{'query': 'SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
185
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
[query_database(**{'query': 'SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
189
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each station, return its longitude and the average duration of trips that started from the station.
[query_database(**{'query': 'SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
193
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question List all the distinct stations from which a trip of duration below 100 started.
[query_database(**{'query': 'SELECT DISTINCT start_station_name FROM trip WHERE duration < 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
198
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?
[query_database(**{'query': 'SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
203
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the id and name of the stations that have ever had more than 12 bikes available?
[query_database(**{'query': 'SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
207
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times?
[query_database(**{'query': 'SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
211
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average latitude and longitude of the starting points of all trips?
[query_database(**{'query': 'SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
215
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question List the titles of the books in ascending order of issues.
[query_database(**{'query': 'SELECT Title FROM book ORDER BY Issues 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
218
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question What are the dates of publications in descending order of price?
[query_database(**{'query': 'SELECT Publication_Date FROM publication ORDER BY Price 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
222
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question Show the title and publication dates of books.
[query_database(**{'query': 'SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
227
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question Please show the most common publication date.
[query_database(**{'query': 'SELECT Publication_Date FROM publication GROUP BY Publication_Date 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
231
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question What is the number of distinct publication dates?
[query_database(**{'query': 'SELECT COUNT (DISTINCT Publication_Date) FROM publication'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
234
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question How many actors are there?
[query_database(**{'query': 'SELECT count(*) FROM actor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
239
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Return the characters and durations for each actor.
[query_database(**{'query': 'SELECT Character , Duration FROM actor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
244
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question What is the duration of the oldest actor?
[query_database(**{'query': 'SELECT Duration FROM actor ORDER BY Age 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
248
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question What are the distinct nominees of the musicals with the award that is not "Tony Award"?
[query_database(**{'query': 'SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
250
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show names of actors and names of musicals they are in.
[query_database(**{'query': 'SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show names of musicals and the number of actors who have appeared in the musicals.
[query_database(**{'query': 'SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
258
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show names of musicals which have at least three actors.
[query_database(**{'query': 'SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question List the most common result of the musicals.
[query_database(**{'query': 'SELECT RESULT FROM musical GROUP BY RESULT 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
268
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question List the name of musicals that do not have actors.
[query_database(**{'query': 'SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
272
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".
[query_database(**{'query': 'SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question How many users are there?
[query_database(**{'query': 'SELECT count(*) FROM user_profiles'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the number of users who posted some tweets.
[query_database(**{'query': 'SELECT count(DISTINCT UID) FROM tweets'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the name and email of the users who have more than 1000 followers.
[query_database(**{'query': 'SELECT name , email FROM user_profiles WHERE followers > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the id of users who are followed by Mary and Susan.
[query_database(**{'query': 'SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" INTERSECT SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Susan"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
292
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question List the name and number of followers for each user, and sort the results by the number of followers in descending order.
[query_database(**{'query': 'SELECT name , followers FROM user_profiles ORDER BY followers 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 `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the name and partition id for users who tweeted less than twice.
[query_database(**{'query': 'SELECT T1.name , T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid 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 `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the maximum and total number of followers of all users.
[query_database(**{'query': 'SELECT max(followers) , sum(followers) FROM user_profiles'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What are the attribute data types with more than 3 attribute definitions?
[query_database(**{'query': 'SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING count(*) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
308
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What are the name and level of catalog structure with level number between 5 and 10
[query_database(**{'query': 'SELECT catalog_level_name , catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the catalog publisher that has the most catalogs.
[query_database(**{'query': 'SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
315
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What are the entry names of catalog with the attribute possessed by most entries.
[query_database(**{'query': 'SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.attribute_value = (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the level name of the catalog with the lowest price (in USD).
[query_database(**{'query': 'SELECT t2.catalog_level_name FROM catalog_contents AS t1 JOIN catalog_structure AS t2 ON t1.catalog_level_number = t2.catalog_level_number ORDER BY t1.price_in_dollars 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
324
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Which catalog content has the highest height? Give me the catalog entry name.
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
328
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Which catalog contents have a product stock number that starts from "2"? Show the catalog entry names.
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents WHERE product_stock_number LIKE "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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
332
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Which catalog contents have length below 3 or above 5? Find the catalog entry names.
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents WHERE LENGTH < 3 OR width > 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities.
[query_database(**{'query': 'SELECT catalog_entry_name , capacity FROM Catalog_Contents WHERE price_in_dollars > 700'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
340
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the total number of catalog contents.
[query_database(**{'query': 'SELECT count(*) FROM catalog_contents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
344
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question How many aircrafts exist in the database?
[query_database(**{'query': 'SELECT count(*) FROM Aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
348
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the ids of all aircrafts that can cover a distance of more than 1000?
[query_database(**{'query': 'SELECT aid FROM Aircraft WHERE distance > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
352
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the name and distance for the aircraft that has an id of 12?
[query_database(**{'query': 'SELECT name , distance FROM Aircraft WHERE aid = 12'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
356
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the id and name of the aircraft that can cover the maximum distance?
[query_database(**{'query': 'SELECT aid , name FROM Aircraft ORDER BY distance 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
360
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of all aircrafts that can cover more distances than average?
[query_database(**{'query': 'SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
364
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the name and salary of all employees in order of salary?
[query_database(**{'query': 'SELECT name , salary FROM Employee ORDER BY salary'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
367
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question How many employees have salary between 100000 and 200000?
[query_database(**{'query': 'SELECT count(*) FROM Employee WHERE salary BETWEEN 100000 AND 200000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
371
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is average and maximum salary of all employees.
[query_database(**{'query': 'SELECT avg(salary) , max(salary) FROM Employee'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
376
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the name of the 3 employees who get paid the least?
[query_database(**{'query': 'SELECT name FROM Employee ORDER BY salary ASC 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
380
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the id and salary of the employee named Mark Young?
[query_database(**{'query': 'SELECT eid , salary FROM Employee WHERE name = 'Mark Young''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
384
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the flight number, origin, and destination for all flights in alphabetical order by departure cities?
[query_database(**{'query': 'SELECT flno , origin , destination FROM Flight ORDER BY origin'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
388
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the origins of all flights that are headed to Honolulu?
[query_database(**{'query': 'SELECT origin FROM Flight WHERE destination = "Honolulu"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
391
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show flight number for all flights with more than 2000 distance.
[query_database(**{'query': 'SELECT flno FROM Flight WHERE distance > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
395
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show origin and destination for flights with price higher than 300.
[query_database(**{'query': 'SELECT origin , destination FROM Flight WHERE price > 300'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
399
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show the flight number of flights with three lowest distances.
[query_database(**{'query': 'SELECT flno FROM Flight ORDER BY distance ASC 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
403
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show all origins and the number of flights from each origin.
[query_database(**{'query': 'SELECT origin , count(*) FROM Flight GROUP BY origin'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
405
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show all destinations and the number of flights to each destination.
[query_database(**{'query': 'SELECT destination , count(*) FROM Flight GROUP BY destination'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
409
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Which destination has least number of flights?
[query_database(**{'query': 'SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
413
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show all flight numbers with aircraft Airbus A340-300.
[query_database(**{'query': 'SELECT T1.flno FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T2.name = "Airbus A340-300"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
417
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show names for all aircraft with at least two flights.
[query_database(**{'query': 'SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
422
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the ids of all employees that don't have certificates?
[query_database(**{'query': 'SELECT eid FROM Employee EXCEPT SELECT eid FROM Certificate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
426
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of all employees who have a certificate to fly Boeing 737-800?
[query_database(**{'query': 'SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
430
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of all employees who are not certified to fly Boeing 737-800s?
[query_database(**{'query': 'SELECT name FROM Employee EXCEPT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
434
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the name and distance of every aircraft that can cover a distance of more than 5000 and which at least 5 people can fly?
[query_database(**{'query': 'SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid WHERE T2.distance > 5000 GROUP BY T1.aid ORDER BY count(*) >= 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
438
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the salaray and name of the employee with the most certificates to fly planes more than 5000?
[query_database(**{'query': 'SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.distance > 5000 GROUP BY T1.eid 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
442
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ ### Question How many distinct allergies are there?
[query_database(**{'query': 'SELECT count(DISTINCT allergytype) FROM Allergy_type'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ ### Question Show all allergies with type food.
[query_database(**{'query': 'SELECT DISTINCT allergy FROM Allergy_type WHERE allergytype = "food"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */
450
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ ### Question What is allergy type of a cat allergy?
[query_database(**{'query': 'SELECT allergytype FROM Allergy_type WHERE allergy = "Cat"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */