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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 names for all females from Canada having a wedding in year 2016.
[query_database(**{'query': 'SELECT T2.name FROM wedding AS T1 JOIN people AS T2 ON T1.female_id = T2.people_id WHERE T1.year = 2016 AND T2.is_male = 'F' AND T2.country = 'Canada''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */ ### Question How many churches have a wedding in year 2016?
[query_database(**{'query': 'SELECT COUNT (DISTINCT church_id) FROM wedding WHERE YEAR = 2016'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "people" ( "People_ID" int, "Name" text, "Country" text, "Is_Male" text, "Age" int, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Country ||Is_Male ||Age 1 ||Mike Weir || Canada || T || 34 */ CREATE TABLE "church" ( "Church_ID" int, "Name" text, "Organized_by" text, "Open_Date" int, "Continuation_of" text, PRIMARY KEY ("Church_ID") ) /* 1 example row: SELECT * FROM church LIMIT 1; Church_ID || Name ||Organized_by ||Open_Date || Continuation_of 1 ||Pure Church of Christ || Wycam Clark || 1831 ||Church of Christ */ CREATE TABLE "wedding" ( "Church_ID" int, "Male_ID" int, "Female_ID" int, "Year" int, PRIMARY KEY ("Church_ID","Male_ID","Female_ID"), FOREIGN KEY ("Church_ID") REFERENCES `church`("Church_ID"), FOREIGN KEY ("Male_ID") REFERENCES `people`("People_ID"), FOREIGN KEY ("Female_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM wedding LIMIT 1; Church_ID ||Male_ID ||Female_ID ||Year 1 || 1 || 2 ||2014 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What are the names, ages, and countries of artists, sorted by the year 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 Show all artist names and the year joined who are not from 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 What is the average and minimum age of all artists from 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 How many exhibition are there in year 2005 or after?
[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 What is the name and country for the artist with most number of exhibitions?
[query_database(**{'query': 'SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question What is the theme and artist name for the exhibition with a ticket price higher than the 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 Show theme and year for all exhibitions in an descending order of ticket price.
[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 Return the themes, dates, and attendance for exhibitions that happened in 2004.
[query_database(**{'query': 'SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */ ### Question Which themes have had corresponding exhibitions that have had attendance both below 100 and above 500?
[query_database(**{'query': 'SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "artist" ( "Artist_ID" int, "Name" text, "Country" text, "Year_Join" int, "Age" int, PRIMARY KEY ("Artist_ID") ) /* 1 example row: SELECT * FROM artist LIMIT 1; Artist_ID || Name ||Country ||Year_Join ||Age 1 ||Vijay Singh || Fiji || 1998 || 45 */ CREATE TABLE "exhibition" ( "Exhibition_ID" int, "Year" int, "Theme" text, "Artist_ID" int, "Ticket_Price" real, PRIMARY KEY ("Exhibition_ID"), FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`) ) /* 1 example row: SELECT * FROM exhibition LIMIT 1; Exhibition_ID ||Year || Theme ||Artist_ID ||Ticket_Price 1 ||2004 ||Santa Claus || 1 || 19.95 */ CREATE TABLE "exhibition_record" ( "Exhibition_ID" int, "Date" text, "Attendance" int, PRIMARY KEY ("Exhibition_ID","Date"), FOREIGN KEY (`Exhibition_ID`) REFERENCES `exhibition`(`Exhibition_ID`) ) /* 1 example row: SELECT * FROM exhibition_record LIMIT 1; Exhibition_ID || Date ||Attendance 1 ||December 2 || 965 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 id of the item whose title is "orange".
[query_database(**{'query': 'SELECT i_id FROM item WHERE title = "orange"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,693
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average and maximum rating of all reviews.
[query_database(**{'query': 'SELECT avg(rating) , max(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 */
1,697
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the number of items that did not receive any review.
[query_database(**{'query': 'SELECT count(*) FROM item WHERE i_id NOT IN (SELECT i_id FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,701
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the titles of items that received any rating below 5.
[query_database(**{'query': 'SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating < 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,705
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the titles of all items in alphabetic order .
[query_database(**{'query': 'SELECT title FROM item ORDER BY title'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,709
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question For each user, return the name and the average rating of reviews given by them.
[query_database(**{'query': 'SELECT T1.name , avg(T2.rating) FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,712
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 source user with the highest average trust score.
[query_database(**{'query': 'SELECT T1.name FROM useracct AS T1 JOIN trust AS T2 ON T1.u_id = T2.source_u_id GROUP BY T2.source_u_id ORDER BY avg(trust) 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 */
1,716
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */ ### Question Find the names of users who did not leave any review.
[query_database(**{'query': 'SELECT name FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `item` ( `i_id` integer NOT NULL , `title` varchar(20) DEFAULT NULL , PRIMARY KEY (`i_id`) ) /* 1 example row: SELECT * FROM item LIMIT 1; i_id ||title 0 || pear */ CREATE TABLE `review` ( `a_id` integer NOT NULL PRIMARY KEY , `u_id` integer NOT NULL , `i_id` integer NOT NULL , `rating` integer DEFAULT NULL , `rank` integer DEFAULT NULL , FOREIGN KEY (`u_id`) REFERENCES `useracct`(`u_id`) , FOREIGN KEY (`i_id`) REFERENCES `item`(`i_id`) ) /* 1 example row: SELECT * FROM review LIMIT 1; a_id ||u_id ||i_id ||rating ||rank 1 || 1 || 1 || 10 || 1 */ CREATE TABLE `useracct` ( `u_id` integer NOT NULL , `name` varchar(128) DEFAULT NULL , PRIMARY KEY (`u_id`) ) /* 1 example row: SELECT * FROM useracct LIMIT 1; u_id || name 1 ||Helen */ CREATE TABLE "trust" (`source_u_id` integer NOT NULL, `target_u_id` integer NOT NULL, `trust` integer NOT NULL, FOREIGN KEY (`source_u_id`) REFERENCES `useracct`(`u_id`), FOREIGN KEY (`target_u_id`) REFERENCES `useracct`(`u_id`)) /* 1 example row: SELECT * FROM trust LIMIT 1; source_u_id ||target_u_id ||trust 1 || 2 || 10 */
1,720
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question List the names of players in ascending order of votes.
[query_database(**{'query': 'SELECT Player_name FROM player ORDER BY Votes 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 "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 What is the name of the player with the largest number of votes?
[query_database(**{'query': 'SELECT Player_name FROM player ORDER BY Votes DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "player" ( "Player_ID" int, "Sponsor_name" text, "Player_name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" int, "Rank" text, PRIMARY KEY ("Player_ID") ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Sponsor_name || Player_name ||Gender ||Residence || Occupation ||Votes ||Rank 1 ||Brandon—Souris ||Jean Luc Bouché || M || Brandon ||Locomotive Engineer || 6055 || 2nd */ CREATE TABLE "club" ( "Club_ID" int, "Club_name" text, "Region" text, "Start_year" int, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||Club_name ||Region ||Start_year 1 || AIK || USA || 2009 */ CREATE TABLE "coach" ( "Coach_ID" int, "Coach_name" text, "Gender" text, "Club_ID" int, "Rank" int, PRIMARY KEY ("Coach_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM coach LIMIT 1; Coach_ID || Coach_name ||Gender ||Club_ID ||Rank 1 ||Jameson Tomas || M || 1 || 1 */ CREATE TABLE "player_coach" ( "Player_ID" int, "Coach_ID" int, "Starting_year" int, PRIMARY KEY ("Player_ID","Coach_ID"), FOREIGN KEY (`Player_ID`) REFERENCES `player`(`Player_ID`), FOREIGN KEY (`Coach_ID`) REFERENCES `coach`(`Coach_ID`) ) /* 1 example row: SELECT * FROM player_coach LIMIT 1; Player_ID ||Coach_ID ||Starting_year 1 || 1 || 2010 */ CREATE TABLE "match_result" ( "Rank" int, "Club_ID" int, "Gold" int, "Big_Silver" int, "Small_Silver" int, "Bronze" int, "Points" int, PRIMARY KEY ("Rank","Club_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM match_result LIMIT 1; Rank ||Club_ID ||Gold ||Big_Silver ||Small_Silver ||Bronze ||Points 1 || 1 || 20 || 14 || 9 || 8 || 168 */ ### Question Show the names of players and names of their coaches.
[query_database(**{'query': 'SELECT T3.Player_name , T2.coach_name FROM player_coach AS T1 JOIN coach AS T2 ON T1.Coach_ID = T2.Coach_ID JOIN player AS T3 ON T1.Player_ID = T3.Player_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the names of players that do not have coaches.
[query_database(**{'query': 'SELECT Player_name FROM player WHERE Player_ID NOT IN (SELECT Player_ID FROM player_coach)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many gymnasts are there?
[query_database(**{'query': 'SELECT count(*) FROM gymnast'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the total points for all gymnasts, ordered by total points descending?
[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 Return the average horizontal bar points across all gymnasts.
[query_database(**{'query': 'SELECT avg(Horizontal_Bar_Points) FROM gymnast'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the names of gymnasts whose hometown is not "Santo Domingo"?
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID WHERE T2.Hometown != "Santo Domingo"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the names of the five 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 average age across all gymnasts.
[query_database(**{'query': 'SELECT avg(T2.Age) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Give the different hometowns of gymnasts that have a total point score of above 57.5.
[query_database(**{'query': 'SELECT DISTINCT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID WHERE T1.Total_Points > 57.5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Return the hometown that is most common among gymnasts.
[query_database(**{'query': 'SELECT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question What are the names of gymnasts, ordered by their heights ascending?
[query_database(**{'query': 'SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Height ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */ ### Question Show the hometowns shared by people older than 23 and younger than 20.
[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 "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 Show the ages of gymnasts in descending order of total points.
[query_database(**{'query': 'SELECT T2.Age FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T1.Total_Points DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "gymnast" ( "Gymnast_ID" int, "Floor_Exercise_Points" real, "Pommel_Horse_Points" real, "Rings_Points" real, "Vault_Points" real, "Parallel_Bars_Points" real, "Horizontal_Bar_Points" real, "Total_Points" real, PRIMARY KEY ("Gymnast_ID"), FOREIGN KEY ("Gymnast_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM gymnast LIMIT 1; Gymnast_ID ||Floor_Exercise_Points ||Pommel_Horse_Points ||Rings_Points ||Vault_Points ||Parallel_Bars_Points ||Horizontal_Bar_Points ||Total_Points 1 || 9.725 || 9.737 || 9.512 || 9.575 || 9.762 || 9.75 || 58.061 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Age" real, "Height" real, "Hometown" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name || Age ||Height || Hometown 1 ||Paul Hamm ||24.0 || 1.71 ||Santo Domingo */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question How many accounts are there in total?
[query_database(**{'query': 'SELECT count(*) FROM accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average balance in checking accounts?
[query_database(**{'query': 'SELECT avg(balance) FROM checking'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,789
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 balance of the checking account belonging to an owner whose name contains 'ee'.
[query_database(**{'query': 'SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name LIKE '%ee%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,791
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 checking and savings balances in accounts belonging to Brown?
[query_database(**{'query': 'SELECT T2.balance , T3.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T1.name = 'Brown''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,795
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 balances of checking accounts belonging to people with savings balances greater than the average savings balance?
[query_database(**{'query': 'SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name IN (SELECT T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T2.balance > (SELECT avg(balance) FROM savings))'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,800
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and total checking and savings balances of accounts whose savings balance is 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 */
1,804
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question Find the number of checking accounts for each account name.
[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 */
1,809
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 checking balances lower than the average checking balance?
[query_database(**{'query': 'SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT avg(balance) FROM checking)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,813
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 sum of checking and savings balances for all customers, ordered by the total balance?
[query_database(**{'query': 'SELECT T1.balance + T2.balance FROM checking AS T1 JOIN savings AS T2 ON T1.custid = T2.custid ORDER BY T1.balance + T2.balance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,815
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */ ### Question What is the name and checking balance of the account which has the lowest savings balance?
[query_database(**{'query': 'SELECT T2.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T3.balance LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,819
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of customers, ordered by the total of checking and savings balances descending?
[query_database(**{'query': 'SELECT T2.balance , T3.balance , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance + T3.balance DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,823
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 who have a savings balance lower than their checking balance, and what is the total of their checking and savings balances?
[query_database(**{'query': 'SELECT T1.name , T3.balance + T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T3.balance < T2.balance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE ACCOUNTS ( custid BIGINT NOT NULL PRIMARY KEY, name VARCHAR(64) NOT NULL ) /* 1 example row: SELECT * FROM accounts LIMIT 1; custid || name 1 ||Brown */ CREATE TABLE SAVINGS ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM savings LIMIT 1; custid || balance 1 ||200000.0 */ CREATE TABLE CHECKING ( custid BIGINT NOT NULL PRIMARY KEY, balance FLOAT NOT NULL, FOREIGN KEY (custid) REFERENCES ACCOUNTS (custid) ) /* 1 example row: SELECT * FROM checking LIMIT 1; custid ||balance 1 ||10000.0 */
1,827
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question List the name of browsers in descending order by market share.
[query_database(**{'query': 'SELECT name FROM browser ORDER BY market_share DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 id and market share of the browser Safari?
[query_database(**{'query': 'SELECT id , market_share FROM browser WHERE name = 'Safari''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id and name of the browser that is compatible with the most web accelerators?
[query_database(**{'query': 'SELECT T1.id , T1.name FROM browser AS T1 JOIN accelerator_compatible_browser AS T2 ON T1.id = T2.browser_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 List the names of the browser that are compatible with both 'CACHEbox' and 'Fasterfox'.
[query_database(**{'query': 'SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'CACHEbox' INTERSECT SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'Fasterfox''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many wrestlers are there?
[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 */
1,849
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the wrestler who had the lowest number of 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 */
1,853
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names and locations of all wrestlers.
[query_database(**{'query': 'SELECT Name , LOCATION FROM wrestler'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Give the names of wrestlers and their elimination moves.
[query_database(**{'query': 'SELECT T2.Name , T1.Elimination_Move FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What is the time of elimination for the wrestler with the most days held?
[query_database(**{'query': 'SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many eliminations did each team have?
[query_database(**{'query': 'SELECT Team , COUNT(*) FROM elimination GROUP BY Team'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which teams had more than 3 eliminations?
[query_database(**{'query': 'SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 days held less than 100?
[query_database(**{'query': 'SELECT Name FROM wrestler WHERE Days_held < 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question List the locations that are shared by more than two wrestlers.
[query_database(**{'query': 'SELECT LOCATION FROM wrestler GROUP BY LOCATION 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 "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 */
1,879
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 teams that have both wrestlers eliminated by Orton and wrestlers eliminated by Benjamin?
[query_database(**{'query': 'SELECT Team FROM Elimination WHERE Eliminated_By = "Orton" INTERSECT SELECT Team FROM Elimination WHERE Eliminated_By = "Benjamin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 any instances in which the elimination was done by Punk or Orton?
[query_database(**{'query': 'SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "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 "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, location, mascot for all schools.
[query_database(**{'query': 'SELECT school_name , LOCATION , mascot 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 Show the average, maximum, minimum enrollment of all schools.
[query_database(**{'query': 'SELECT avg(enrollment) , max(enrollment) , min(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 List the names of the schools without any endowment.
[query_database(**{'query': 'SELECT school_name FROM school WHERE school_id NOT IN (SELECT school_id FROM endowment)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the amount and donor name for the largest amount of donation.
[query_database(**{'query': 'SELECT amount , donator_name FROM endowment ORDER BY amount 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 "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 */
1,903
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all donor names.
[query_database(**{'query': 'SELECT DISTINCT donator_name FROM endowment'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,906
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 schools with a total budget amount greater than 100 or a total endowment greater than 10.
[query_database(**{'query': 'SELECT T2.school_name FROM budget AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id JOIN endowment AS T3 ON T2.school_id = T3.school_id GROUP BY T2.school_name HAVING sum(T1.budgeted) > 100 OR sum(T3.amount) > 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 "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 How many buildings are there?
[query_database(**{'query': 'SELECT count(*) 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 */
1,914
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of buildings with a height above the average or a number of floors above the average.
[query_database(**{'query': 'SELECT count(*) FROM building WHERE height_feet > (SELECT avg(height_feet) FROM building) OR floors > (SELECT avg(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 the institution type with an institution founded after 1990 and an institution with at least 1000 enrollment.
[query_database(**{'query': 'SELECT TYPE FROM institution WHERE founded > 1990 AND enrollment >= 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 and heights of buildings with at least two institutions founded after 1880.
[query_database(**{'query': 'SELECT T1.name , T1.height_feet FROM building AS T1 JOIN institution AS T2 ON T1.building_id = T2.building_id WHERE T2.founded > 1880 GROUP BY T1.building_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 proteins are associated with an institution founded after 1880 or an institution with type "Private"?
[query_database(**{'query': 'SELECT count(*) FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_id WHERE T1.founded > 1880 OR T1.type = 'Private''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show all the locations where some cinemas were opened in both year 2010 and year 2011.
[query_database(**{'query': 'SELECT LOCATION FROM cinema WHERE openning_year = 2010 INTERSECT SELECT LOCATION FROM cinema WHERE openning_year = 2011'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
1,936
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are all the locations with 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 */
1,939
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the name and location of the cinema with the largest capacity?
[query_database(**{'query': 'SELECT name , LOCATION FROM cinema ORDER BY capacity DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "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 What is the location with the most cinemas opened in year 2010 or later?
[query_database(**{'query': 'SELECT LOCATION FROM cinema WHERE openning_year >= 2010 GROUP BY LOCATION ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "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 all directors.
[query_database(**{'query': 'SELECT DISTINCT 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give me the title and highest price for each film.
[query_database(**{'query': 'SELECT T2.title , max(T1.price) FROM schedule AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "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 locations that have 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 "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 films whose title contains the word 'Dummy'.
[query_database(**{'query': 'SELECT count(*) FROM film WHERE title LIKE "%Dummy%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the id and the amount of refund of the booking that incurred the most times of payments?
[query_database(**{'query': 'SELECT T1.booking_id , T1.amount_of_refund FROM Bookings AS T1 JOIN Payments AS T2 ON T1.booking_id = T2.booking_id GROUP BY T1.booking_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 of products whose availability equals to 1?
[query_database(**{'query': 'SELECT T2.product_name FROM view_product_availability AS T1 JOIN products_for_hire AS T2 ON T1.product_id = T2.product_id WHERE T1.available_yn = 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 `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 maximum, minimum, and average booked count for the products booked?
[query_database(**{'query': 'SELECT max(booked_count) , min(booked_count) , avg(booked_count) FROM products_booked'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 coupon amount of the coupons owned by both good and bad customers?
[query_database(**{'query': 'SELECT T1.coupon_amount FROM Discount_Coupons AS T1 JOIN customers AS T2 ON T1.coupon_id = T2.coupon_id WHERE T2.good_or_bad_customer = 'good' INTERSECT SELECT T1.coupon_amount FROM Discount_Coupons AS T1 JOIN customers AS T2 ON T1.coupon_id = T2.coupon_id WHERE T2.good_or_bad_customer = 'bad''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,979
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the names of phones in ascending order of price.
[query_database(**{'query': 'SELECT Name FROM phone ORDER BY Price 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 "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 List the distinct carriers of phones with memories bigger than 32.
[query_database(**{'query': 'SELECT DISTINCT Carrier FROM phone WHERE Memory_in_G > 32'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most frequently used carrier of the phones.
[query_database(**{'query': 'SELECT Carrier FROM phone GROUP BY Carrier 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 "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, in ascending order of the ranking of the market.
[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 ORDER BY T2.Ranking'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 companies are there?
[query_database(**{'query': 'SELECT count(*) 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 */
1,999
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 company names and headquarters in the descending order of market value.
[query_database(**{'query': 'SELECT company , headquarters FROM company ORDER BY market_value 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 */
2,002
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the minimum, maximum, and average market value for every company?
[query_database(**{'query': 'SELECT min(market_value) , max(market_value) , avg(market_value) 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 */
2,006
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each headquarter, what are the headquarter and how many companies are centered there?
[query_database(**{'query': 'SELECT headquarters , count(*) FROM company GROUP BY headquarters'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,010
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each main industry, what is the total number of companies for the industry with the highest total market value?
[query_database(**{'query': 'SELECT main_industry , count(*) FROM company GROUP BY main_industry ORDER BY sum(market_value) 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 */
2,013
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 gas station id, location, and manager_name for all gas stations ordered by open year.
[query_database(**{'query': 'SELECT station_id , LOCATION , manager_name 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 */
2,017
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 locations and the number of gas stations in each location ordered by the count.
[query_database(**{'query': 'SELECT LOCATION , count(*) FROM gas_station GROUP BY LOCATION ORDER BY count(*)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,022
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 headquarters without companies that are in the banking industry?
[query_database(**{'query': 'SELECT headquarters FROM company EXCEPT SELECT headquarters FROM company WHERE main_industry = 'Banking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,026
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 main industries of the companies without gas stations and what are the companies?
[query_database(**{'query': 'SELECT company , main_industry FROM company WHERE company_id NOT IN (SELECT company_id FROM station_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 */
2,030
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that have gas stations owned by a company with a market value greater than 100?
[query_database(**{'query': 'SELECT T3.location 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.market_value > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,035
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 find the rank, company names, market values of the companies in the banking industry order by their sales and profits in billion.
[query_database(**{'query': 'SELECT rank , company , market_value FROM company WHERE main_industry = 'Banking' ORDER BY sales_billion , profits_billion'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,039
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many regions do we have?
[query_database(**{'query': 'SELECT count(*) FROM region'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */