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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 "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question Show the church names for the weddings of all people older than 30.
[query_database(**{'query': 'SELECT T4.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id JOIN church AS T4 ON T4.church_id = T1.church_id WHERE T2.age > 30 OR T3.age > 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show all artist name, age, and country ordered by the yeared they joined.
[query_database(**{'query': 'SELECT name , age , country FROM artist ORDER BY Year_Join'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are the names and year of joining for artists that do not have the country "United States"?
[query_database(**{'query': 'SELECT name , year_join FROM artist WHERE country != 'United States''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Return the average and minimum ages across artists from the United States.
[query_database(**{'query': 'SELECT avg(age) , min(age) FROM artist WHERE country = 'United States''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Count the number of exhibitions that happened in or after 2005.
[query_database(**{'query': 'SELECT count(*) FROM exhibition WHERE YEAR >= 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show all artist names and the number of exhibitions for each artist.
[query_database(**{'query': 'SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Show names for artists without any exhibition.
[query_database(**{'query': 'SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Return the names of artists and the themes of their exhibitions that had a ticket price higher than average.
[query_database(**{'query': 'SELECT T1.theme , T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.ticket_price > (SELECT avg(ticket_price) FROM exhibition)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are the themes and years for exhibitions, sorted by ticket price descending?
[query_database(**{'query': 'SELECT theme , YEAR FROM exhibition ORDER BY ticket_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 "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are the names of artists who did not have an exhibition in 2004?
[query_database(**{'query': 'SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.year = 2004'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Count the number of exhibitions that have had an attendnance of over 100 or a ticket prices under 10.
[query_database(**{'query': 'SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question List all information in the item table.
[query_database(**{'query': 'SELECT * FROM item'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question How many different items were reviewed by some users?
[query_database(**{'query': 'SELECT count(DISTINCT i_id) FROM review'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,700
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the titles of items whose rating is higher than the average review rating of all items.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating > (SELECT avg(rating) FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,704
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the name of the item with the lowest average rating.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY avg(T2.rating) LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,708
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the name and id of the good with the highest average rank.
[query_database(**{'query': 'SELECT T1.title , T1.i_id FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY avg(T2.rank) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,713
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find each target user's name and average trust score.
[query_database(**{'query': 'SELECT T1.name , avg(trust) FROM useracct AS T1 JOIN trust AS T2 ON T1.u_id = T2.target_u_id GROUP BY T2.target_u_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,717
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the number of users who did not write any review.
[query_database(**{'query': 'SELECT count(*) FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,721
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question What are the gender and occupation of players?
[query_database(**{'query': 'SELECT Gender , Occupation FROM player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Show different occupations along with the number of players in each occupation.
[query_database(**{'query': 'SELECT Occupation , COUNT(*) FROM player GROUP BY Occupation'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
1,729
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Show the names of players coached by the rank 1 coach.
[query_database(**{'query': 'SELECT T3.Player_name FROM player_coach AS T1 JOIN coach AS T2 ON T1.Coach_ID = T2.Coach_ID JOIN player AS T3 ON T1.Player_ID = T3.Player_ID WHERE T2.Rank = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Show the residences that have both a player of gender "M" and a player of gender "F".
[query_database(**{'query': 'SELECT Residence FROM player WHERE gender = "M" INTERSECT SELECT Residence FROM player WHERE gender = "F"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question List the total points of gymnasts in descending order.
[query_database(**{'query': 'SELECT Total_Points FROM gymnast ORDER BY Total_Points DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question List the total points of gymnasts in descending order of floor exercise points.
[query_database(**{'query': 'SELECT Total_Points FROM gymnast ORDER BY Floor_Exercise_Points DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the names of people in ascending alphabetical order?
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Return the names of the gymnasts.
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question List the names of the top 5 oldest people.
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Age 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 "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Return the total points of the gymnast with the lowest age.
[query_database(**{'query': 'SELECT T1.Total_Points FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Age ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question How many gymnasts are from each hometown?
[query_database(**{'query': 'SELECT T2.Hometown , COUNT(*) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Give the hometowns from which two or more gymnasts are from.
[query_database(**{'query': 'SELECT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown HAVING COUNT(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question List the distinct hometowns that are not associated with any gymnast.
[query_database(**{'query': 'SELECT DISTINCT Hometown FROM people EXCEPT SELECT DISTINCT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question From which hometowns did both people older than 23 and younger than 20 come from?
[query_database(**{'query': 'SELECT Hometown FROM people WHERE Age > 23 INTERSECT SELECT Hometown FROM people WHERE Age < 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What is the total balance of savings accounts not belonging to someone with the name Brown?
[query_database(**{'query': 'SELECT sum(T2.balance) FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T1.name != 'Brown''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the total balance across checking accounts.
[query_database(**{'query': 'SELECT sum(balance) FROM checking'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,784
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question How many accounts have a savings balance above the average savings balance?
[query_database(**{'query': 'SELECT count(*) FROM savings WHERE balance > (SELECT avg(balance) FROM savings)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,787
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the customer id and name corresponding to accounts with a checking balance less than the largest checking balance?
[query_database(**{'query': 'SELECT T1.custid , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT max(balance) FROM checking)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,792
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the names of accounts whose checking balance is above the average checking balance, but savings balance is below the average savings balance.
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance > (SELECT avg(balance) FROM checking) INTERSECT SELECT T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM savings)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,797
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names of all the customers in alphabetical order?
[query_database(**{'query': 'SELECT name FROM accounts ORDER BY name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,801
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names and sum of checking and savings balances for accounts with savings balances higher than the average savings balance?
[query_database(**{'query': 'SELECT T1.name , T2.balance + T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance > (SELECT avg(balance) FROM savings)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,805
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names of customers with accounts, and how many checking accounts do each of them have?
[query_database(**{'query': 'SELECT count(*) , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid GROUP BY T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,807
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names of customers with accounts, and what are the total savings balances for each?
[query_database(**{'query': 'SELECT sum(T2.balance) , T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid GROUP BY T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,811
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What is the savings balance of the account belonging to the customer with the highest checking balance?
[query_database(**{'query': 'SELECT T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,817
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names, checking balances, and savings balances for all customers?
[query_database(**{'query': 'SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,821
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are the names of customers with a higher checking balance than savings balance?
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T2.balance > T3.balance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,825
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What are names and savings balances of the three accounts with the highest savings balances?
[query_database(**{'query': 'SELECT T1.name , T2.balance FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T2.balance DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question What is the maximum, minimum and average market share of the listed browsers?
[query_database(**{'query': 'SELECT max(market_share) , min(market_share) , avg(market_share) FROM browser'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question What is the name of the browser that became compatible with the accelerator 'CProxy' after year 1998 ?
[query_database(**{'query': 'SELECT T1.name FROM browser AS T1 JOIN accelerator_compatible_browser AS T2 ON T1.id = T2.browser_id JOIN web_client_accelerator AS T3 ON T2.accelerator_id = T3.id WHERE T3.name = 'CProxy' AND T2.compatible_since_year > 1998'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question How many accelerators are not compatible with the browsers listed ?
[query_database(**{'query': 'SELECT count(*) FROM web_client_accelerator WHERE id NOT IN ( SELECT accelerator_id FROM accelerator_compatible_browser );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question Which accelerator name contains substring "Opera"?
[query_database(**{'query': 'SELECT name FROM web_client_accelerator WHERE name LIKE "%Opera%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Count the number of wrestlers.
[query_database(**{'query': 'SELECT count(*) FROM wrestler'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What is the name of the wrestler with the fewest days held?
[query_database(**{'query': 'SELECT Name FROM wrestler ORDER BY Days_held ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,851
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Give the different reigns of wrestlers who are not located in Tokyo, Japan.
[query_database(**{'query': 'SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,855
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Return the elimination movies of wrestlers on Team Orton.
[query_database(**{'query': 'SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the names of wrestlers and their teams in elimination, ordered descending by days held?
[query_database(**{'query': 'SELECT T2.Name , T1.Team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the times of elimination for wrestlers with over 50 days held?
[query_database(**{'query': 'SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID WHERE T2.Days_held > 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the reigns and days held of all wrestlers?
[query_database(**{'query': 'SELECT Reign , Days_held FROM wrestler'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Please show the most common reigns of wrestlers.
[query_database(**{'query': 'SELECT Reign FROM wrestler GROUP BY Reign 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,877
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the names of wrestlers who have never been eliminated?
[query_database(**{'query': 'SELECT Name FROM wrestler WHERE Wrestler_ID NOT IN (SELECT Wrestler_ID FROM elimination)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,880
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What is the number of distinct teams that suffer elimination?
[query_database(**{'query': 'SELECT COUNT (DISTINCT team) FROM elimination'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Count the number of schools.
[query_database(**{'query': 'SELECT count(*) FROM school'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
1,889
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question What are the mascots for schools with enrollments above the average?
[query_database(**{'query': 'SELECT mascot FROM school WHERE enrollment > (SELECT avg(enrollment) FROM school)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question How many donors have endowment for school named "Glenn"?
[query_database(**{'query': 'SELECT count(DISTINCT T1.donator_name) FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = "Glenn"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Show the names of donors who donated to both school "Glenn" and "Triton."
[query_database(**{'query': 'SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Glenn' INTERSECT SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Triton''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Count the number of budgets in year 2001 or before whose budgeted amount is greater than 3000
[query_database(**{'query': 'SELECT count(*) FROM budget WHERE budgeted > 3000 AND YEAR <= 2001'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
1,905
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question What is the total budget amount for school "Glenn" in all years?
[query_database(**{'query': 'SELECT sum(T1.budgeted) FROM budget AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Glenn''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
1,909
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question List the name, IHSAA Football Class, and Mascot of the schools that have more than 6000 of budgeted amount or were founded before 2003, in the order of percent of total invested budget and total budgeted budget.
[query_database(**{'query': 'SELECT T1.School_name , T1.Mascot , T1.IHSAA_Football_Class FROM school AS T1 JOIN budget AS T2 ON T1.school_id = T2.school_id WHERE Budgeted > 6000 OR YEAR < 2003 ORDER BY T2.total_budget_percent_invested , T2.total_budget_percent_budgeted'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question What are the average, maximum, and minimum number of floors for all buildings?
[query_database(**{'query': 'SELECT avg(floors) , max(floors) , min(floors) FROM building'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show institution types, along with the number of institutions and total enrollment for each type.
[query_database(**{'query': 'SELECT TYPE , count(*) , sum(enrollment) FROM institution GROUP BY 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show the names of buildings except for those having an institution founded in 2003.
[query_database(**{'query': 'SELECT name FROM building EXCEPT SELECT T1.name FROM building AS T1 JOIN institution AS T2 ON T1.building_id = T2.building_id WHERE T2.founded = 2003'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */
1,925
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show institution names along with the number of proteins for each institution.
[query_database(**{'query': 'SELECT T1.institution , count(*) FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_id GROUP BY T1.institution_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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question How many institutions do not have an associated protein in our record?
[query_database(**{'query': 'SELECT count(*) FROM institution WHERE institution_id NOT IN (SELECT institution_id FROM protein)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Count the number of cinemas.
[query_database(**{'query': 'SELECT count(*) FROM cinema'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Find the distinct locations that has a cinema.
[query_database(**{'query': 'SELECT DISTINCT LOCATION FROM cinema'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show each location and the number of cinemas there.
[query_database(**{'query': 'SELECT LOCATION , count(*) FROM cinema GROUP BY LOCATION'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show the title and director for all films.
[query_database(**{'query': 'SELECT title , directed_by FROM film'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
1,949
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question List all directors along with the number of films directed by each director.
[query_database(**{'query': 'SELECT directed_by , count(*) FROM film GROUP BY directed_by'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show cinema name, film title, date, and price for each record in schedule.
[query_database(**{'query': 'SELECT T3.name , T2.title , T1.date , T1.price FROM schedule AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id JOIN cinema AS T3 ON T1.cinema_id = T3.cinema_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question In which locations are there more than one movie theater with capacity above 300?
[query_database(**{'query': 'SELECT LOCATION FROM cinema WHERE capacity > 300 GROUP BY LOCATION HAVING count(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question How many bookings did each customer make? List the customer id, first name, and the count.
[query_database(**{'query': 'SELECT T1.customer_id , T1.first_name , count(*) FROM Customers AS T1 JOIN bookings AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What is the product description of the product booked with an amount of 102.76?
[query_database(**{'query': 'SELECT T2.product_description FROM products_booked AS T1 JOIN products_for_hire AS T2 ON T1.product_id = T2.product_id WHERE T1.booked_amount = 102.76'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What are the first name, last name, and gender of all the good customers? Order by their last name.
[query_database(**{'query': 'SELECT first_name , last_name , gender_mf FROM customers WHERE good_or_bad_customer = 'good' ORDER BY last_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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What are the daily hire costs for the products with substring 'Book' in its name?
[query_database(**{'query': 'SELECT daily_hire_cost FROM Products_for_hire WHERE product_name LIKE '%Book%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What are the names and descriptions of the products that are of 'Cutlery' type and have daily hire cost lower than 20?
[query_database(**{'query': 'SELECT product_name , product_description FROM products_for_hire WHERE product_type_code = 'Cutlery' AND daily_hire_cost < 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question What is the carrier of the most expensive phone?
[query_database(**{'query': 'SELECT Carrier FROM phone ORDER BY Price 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 "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question Show the names of phones and the districts of markets they are on.
[query_database(**{'query': 'SELECT T3.Name , T2.District FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_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 "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
1,991
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question Show the names of phones that have total number of stocks bigger than 2000, in descending order of the total number of stocks.
[query_database(**{'query': 'SELECT T2.Name FROM phone_market AS T1 JOIN phone AS T2 ON T1.Phone_ID = T2.Phone_ID GROUP BY T2.Name HAVING sum(T1.Num_of_stock) >= 2000 ORDER BY sum(T1.Num_of_stock) 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 "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
1,995
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question List the company name and rank for all companies in the decreasing order of their sales.
[query_database(**{'query': 'SELECT company , rank FROM company ORDER BY Sales_billion DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
1,998
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the companies and main industries of all companies that are not headquartered in the United States?
[query_database(**{'query': 'SELECT company , main_industry FROM company WHERE headquarters != 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,003
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show all main industry for all companies.
[query_database(**{'query': 'SELECT DISTINCT main_industry FROM company'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,007
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show all main industry and total market value in each industry.
[query_database(**{'query': 'SELECT main_industry , sum(market_value) FROM company GROUP BY main_industry'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,011
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show headquarters with at least two companies in the banking industry.
[query_database(**{'query': 'SELECT headquarters FROM company WHERE main_industry = 'Banking' GROUP BY headquarters 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,015
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question How many gas station are opened between 2000 and 2005?
[query_database(**{'query': 'SELECT count(*) FROM gas_station WHERE open_year BETWEEN 2000 AND 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,019
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show all headquarters with both a company in banking industry and a company in Oil and gas.
[query_database(**{'query': 'SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,023
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show the company name with the number of gas station.
[query_database(**{'query': 'SELECT T2.company , count(*) FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,027
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show the manager name for gas stations belonging to the ExxonMobil company.
[query_database(**{'query': 'SELECT T3.manager_name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.company = 'ExxonMobil''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question Show the manager name with most number of gas stations opened after 2000.
[query_database(**{'query': 'SELECT manager_name FROM gas_station WHERE open_year > 2000 GROUP BY manager_name 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,034
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the locations of all the gas stations ordered by opening year?
[query_database(**{'query': 'SELECT LOCATION FROM gas_station ORDER BY open_year'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,038
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the locations and representatives' names of the gas stations owned by the companies with the 3 largest amounts of assets?
[query_database(**{'query': 'SELECT T3.location , T3.Representative_Name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id ORDER BY T2.Assets_billion 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,042
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question What are the different region names, ordered by labels?
[query_database(**{'query': 'SELECT DISTINCT region_name FROM region ORDER BY Label'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,046
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Who are the ministers, when did they take office, and when did they leave office, ordered by when they left office?
[query_database(**{'query': 'SELECT minister , took_office , left_office FROM party ORDER BY left_office'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */